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Loscos, Àlex. "Spectral processing of the singing voice." Doctoral thesis, Universitat Pompeu Fabra, 2007. http://hdl.handle.net/10803/7542.
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Aquesta tesi doctoral versa sobre el processament digital de la veu cantada, més concretament, sobre l'anàlisi, transformació i síntesi d'aquets tipus de veu en el domini espectral, amb especial èmfasi en aquelles tècniques rellevants per al desenvolupament d'aplicacions musicals.<br/><br/>La tesi presenta nous procediments i formulacions per a la descripció i transformació d'aquells atributs específicament vocals de la veu cantada. La tesis inclou, entre d'altres, algorismes per l'anàlisi i la generació de desordres vocals como ara rugositat, ronquera, o veu aspirada, detecció i modificació de la freqüència fonamental de la veu, detecció de nasalitat, conversió de veu cantada a melodia, detecció de cops de veu, mutació de veu cantada, i transformació de veu a instrument; exemplificant alguns d'aquests algorismes en aplicacions concretes.<br>Esta tesis doctoral versa sobre el procesado digital de la voz cantada, más concretamente, sobre el análisis, transformación y síntesis de este tipo de voz basándose e dominio espectral, con especial énfasis en aquellas técnicas relevantes para el desarrollo de aplicaciones musicales.<br/><br/>La tesis presenta nuevos procedimientos y formulaciones para la descripción y transformación de aquellos atributos específicamente vocales de la voz cantada. La tesis incluye, entre otros, algoritmos para el análisis y la generación de desórdenes vocales como rugosidad, ronquera, o voz aspirada, detección y modificación de la frecuencia fundamental de la voz, detección de nasalidad, conversión de voz cantada a melodía, detección de los golpes de voz, mutación de voz cantada, y transformación de voz a instrumento; ejemplificando algunos de éstos en aplicaciones concretas.<br>This dissertation is centered on the digital processing of the singing voice, more concretely on the analysis, transformation and synthesis of this type of voice in the spectral domain, with special emphasis on those techniques relevant for music applications. <br/><br/>The thesis presents new formulations and procedures for both describing and transforming those attributes of the singing voice that can be regarded as voice specific. The thesis includes, among others, algorithms for rough and growl analysis and transformation, breathiness estimation and emulation, pitch detection and modification, nasality identification, voice to melody conversion, voice beat onset detection, singing voice morphing, and voice to instrument transformation; being some of them exemplified with concrete applications.
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Bisot, Clémence. "Spectral Data Processing for Steel Industry." Thesis, KTH, Optimeringslära och systemteori, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-175880.
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For steel industry, knowing and understanding characteristics of a steel strip surface at every steps of the production process is a key element to control final product quality. Today as the quality requirements increase this task gets more and more important. The surface of new steel grades with complex chemical compositions has behaviors especially hard to master. For those grades in particular, surface control is critical and difficult. One of the promising technics to assess the problem of surface quality control is spectra analysis. Over the last few years, ArcelorMittal, world’s leading integrated steel and mining company, has led several projects to investigate the possibility of using devices to measure light spectrum of their product at different stage of the production. The large amount of data generated by these devices makes it absolutely necessary to develop efficient data treatment pipelines to get meaningful information out of the recorded spectra. In this thesis, we developed mathematical models and statistical tools to treat signal measured with spectrometers in the framework of different research projects.<br>För stålindustrin, att veta och förstå ytegenskaperna på ett stålband vid varje steg i produktionsprocessen är en nyckelfaktor för att styra slutproduktens kvalitet. Den senaste tidens ökande kvalitetskraven har gjort denna uppgift allt mer viktigare. Ytan på nya stål kvaliteter med komplexa kemiska sammansättningar har egenskaper som är särskilt svårt att hantera. För dess kvaliteter är ytkontroll kritisk och svår. En av de tekniker som används för att kontrollera ytans kvalitet är spektrum analys. Arcelor Mittal, världens ledande integrerade stål- och gruvföretag, har under de senaste åren lett flera projekt för att undersöka möjligheten att använda mätinstrument för att mäta spektrum ljuset från sin produkt i olika stadier av produktionen. En av de tekniker som används för att kontrollera ytans kvalitet är spektrum analys. I denna avhandling har vi utvecklat matematiska modeller och statistiska verktyg för att kunna hanskas med signaler som är uppmätt med spektrometrar inom ramen av olika forskningsprojekt hos Arcelor Mittal.
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Batri, Nadim. "Robust spectral parameter coding in speech processing." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0005/MQ43996.pdf.
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Larsson, Erik G. "The ubiquitous signal processing : applications to communications, spectral analysis and array processing /." Uppsala : Uppsala Univ, 2001. http://www.gbv.de/dms/goettingen/342399306.pdf.
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Taipaleenmäki, T. (Tomi). "Pervasive gaming:from special to mundane." Master's thesis, University of Oulu, 2014. http://urn.fi/URN:NBN:fi:oulu-201405281553.
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In the early 2000’s the idea about digital pervasive gaming was somewhat limited, as there was a lot of technological obstacles, which made implementing pervasive elements into practical use either difficult or expensive. Pervasive games could mean, that if you wanted to play them you would have to have a plethora of different devices with you, depending of if you needed a GPS for navigation, laptop for data search or just some contraption for virtual reality or just a camera to take photos with. And on the top of that, accessing the internet on the go was, if not impossible, potentially very expensive and not necessarily easy, depending on your location.
Gradually the technology has begun to evolve in more versatile direction. Today a good cellphone can replace most of the devices that were cumbersome to lug around ten years ago. 3G and 4G internet connections can provide an access to the internet so, that it is possible to access the data sources almost anywhere, were you in the city or in a forest. Of course there’s still gaps in the networks, but at least there’s lesser need to find a phone outlet.
Pervasive gaming is not just for location based outdoors activity anymore. Thanks to the advancements of technology elements enabling pervasive gaming have also found their way to home game consoles, MMO games and many kinds of social platform games.
Pervasive games come in many different shapes and forms. The elements used can be simple social interaction, where the player informs the social network when the game is played or what kind of achievements is done in the game, thus trying to lure in more gamers or they can be more massive style of a games, where not only social activity is a must, but also where and when the game is played has an effect as well. The game can use specialized controllers, such as motion or voice or the player can just simply stream the gameplay to the web, enabling others to spectate and comment the gameplay.
The designers need to ask themselves what kind of features they want to use and what kind of devices the players need in order to use these kind of pervasive features. There are also questions of the player security, be it actual physical wellbeing of the player on the real life location of the game or information security of the data gathered during the game.
This thesis tries to provide some theoretical insight on what pervasive gaming has been, is now and where it is heading. There are some speculation about how pervasive elements should be designed and used as well points the designers should take a note of.
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Schlottau, Friso. "Multidimensional signal processing in spatial-spectral holographic media." Diss., Connect to online resource, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3207865.
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Doesburg, Robert Michael Nicolas. "The MARS Photon Processing Cameras for Spectral CT." Thesis, University of Canterbury. Physics and Astronomy, 2012. http://hdl.handle.net/10092/7327.
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This thesis is about the development of the MARS camera: a standalone portable digital x-ray camera with spectral sensitivity. It is built for use in the MARS Spectral system from the Medipix2 and Medipix3 imaging chips. Photon counting detectors and Spectral CT are introduced, and Medipix is identified as a powerful new imaging device. The goals and strategy for the MARS camera are discussed. The Medipix chip physical, electronic and functional aspects, and experience gained, are described. The camera hardware, firmware and supporting PC software are presented. Reports of experimental work on the process of equalisation from noise, and of tests of charge summing mode, conclude the main body of the thesis. The camera has been actively used since late 2009 in pre-clinical research. A list of publications that derive from the use of the camera and the MARS Spectral scanner demonstrates the practical benefits already obtained from this work. Two of the publications are first-author, eight are co-authored, and a further four acknowledge use of the MARS camera as part of the MARS scanner. The work has been presented at three MARS group meetings, two departmental conferences, and at an internal Medipix3 collaboration meeting hosted by ESRF in Grenoble.
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Brent, Peter John. "Early visual processing of luminance and spectral information." Thesis, Imperial College London, 1991. http://hdl.handle.net/10044/1/46681.
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Luo, Chuanjiang. "Laplace-based Spectral Method for Point Cloud Processing." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1388661251.
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Van, der Byl Andrew. "A parallel processing framework for spectral based computations." Doctoral thesis, University of Cape Town, 2012. http://hdl.handle.net/11427/11522.
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Includes abstract.<br>Includes bibliographical references.<br>Today, great advances have been made; however the tenet of ‘design first, figure out how to program later’ still lingers in the corridors of Silicon Valley. The focus of this study is however not on making a contribution to compilers or software development, nor on determining an efficient generic parallel processing architecture for all classes of computing. Instead, this study adopts a different design approach, where a class of computing is first selected and analyzed, before determining a suitable hardware structure which can be tailored to the class being considered. The class of computing under investigation in this work is Spectral Methods, which by its very nature, has its own processing and data communication requirements. The purpose of this study is to investigate the processing and data handling requirements of the Spectral Methods class, and to design a suitable framework to support this class. The approach is different from past traditions - the hardware framework is based on software requirements, and in a sense is designed for the processing required, rather that the other way around.
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Wood, Christiaan. "An investigation into multi-spectral tracking." Thesis, Link to the online version, 2005. http://hdl.handle.net/10019/1319.
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Léger, Agnès. "Investigation of speech processing in frequency regions where absolute thresholds are normal for hearing-impaired listeners." Thesis, Paris 5, 2012. http://www.theses.fr/2012PA05H106.
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Une perte auditive neurosensorielle est généralement associée à uneréduction de l’intelligibilité de la parole, et ce tout particulièrement dans le bruit.Les contributions respectives d’une réduction de l'audibilité et de déficitssupraliminaires sont encore débattues.L'objectif principal de cette thèse était d'évaluer l'effet spécifique desdéficits supraliminaires sur l’intelligibilité de la parole. L'effet de l'audibilité étaitcontrôlé en mesurant l’intelligibilité de signaux de parole sans signification filtrésdans les régions basses et moyennes fréquences au sein desquelles la détection desons purs était normale chez des auditeurs malentendants présentant par ailleursune perte auditive en hautes fréquences. Dans ces régions fréquentielles oùl’audibilité est supposée normale, des déficits d'intelligibilité de la parole légers àsévères ont été observés dans le silence comme dans le bruit chez les auditeursmalentendants. Les déficits étaient similaires dans les bruits masquantstationnaires et fluctuants. Ces résultats démontrent l’influence des déficitsauditifs supraliminaires sur l’intelligibilité de la parole.Le second objectif de cette thèse était d'étudier l'origine de ces déficitssupraliminaires. Les résultats indiquent qu’une réduction de la sélectivitéfréquentielle cochléaire ne peut pas expliquer entièrement les déficitsd’intelligibilité de la parole des auditeurs malentendants. L'influence de lasensibilité à la structure temporelle fine reste incertaine<br>Speech intelligibility is reduced for listeners with sensorineural hearingloss, especially for speech in noise. The extent to which this reduction is due toreduced audibility or to supra-threshold deficits is still debated.The main goal of this PhD work was to investigate the specific influenceof supra-threshold deficits on speech intelligibility. The effect of audibility wascontrolled for by measuring speech intelligibility for hearing-impaired listenersusing nonsense speech signals filtered in low- and mid-frequency regions wherepure-tone sensitivity was normal. Hearing-impaired listeners with hearing loss inhigh-frequency regions showed mild to severe intelligibility deficits for speechboth in quiet and in noise in these frequency regions of normal audibility. Similardeficits were obtained for speech in steady and fluctuating masking noises. Thisprovides additional evidence that speech intelligibility may be strongly influencedby supra-threshold auditory deficits.The second aim of this PhD work was to investigate the origin of thesesupra-threshold deficits. Results showed that reduced frequency selectivity cannotentirely explain the speech intelligibility deficits of the hearing-impaired listeners.The influence of temporal fine structure sensitivity remained unclear
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Saperstein, Robert Elliot. "Information processing with longitudinal spectral decomposition of ultrashort pulses." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2007. http://wwwlib.umi.com/cr/ucsd/fullcit?p3283916.
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Thesis (Ph. D.)--University of California, San Diego, 2007.<br>Title from first page of PDF file (viewed December 3, 2007). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 101-108).
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Gavrilovic, Milan. "Spectral Image Processing with Applications in Biotechnology and Pathology." Doctoral thesis, Uppsala universitet, Centrum för bildanalys, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-160574.
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Color theory was first formalized in the seventeenth century by Isaac Newton just a couple of decades after the first microscope was built. But it was not until the twentieth century that technological advances led to the integration of color theory, optical spectroscopy and light microscopy through spectral image processing. However, while the focus of image processing often concerns modeling of how images are perceived by humans, the goal of image processing in natural sciences and medicine is the objective analysis. This thesis is focused on color theory that promotes quantitative analysis rather than modeling how images are perceived by humans. Color and fluorescent dyes are routinely added to biological specimens visualizing features of interest. By applying spectral image processing to histopathology, subjectivity in diagnosis can be minimized, leading to a more objective basis for a course of treatment planning. Also, mathematical models for spectral image processing can be used in biotechnology research increasing accuracy and throughput, and decreasing bias. This thesis presents a model for spectral image formation that applies to both fluorescence and transmission light microscopy. The inverse model provides estimates of the relative concentration of each individual component in the observed mixture of dyes. Parameter estimation for the model is based on decoupling light intensity and spectral information. This novel spectral decomposition method consists of three steps: (1) photon and semiconductor noise modeling providing smoothing parameters, (2) image data transformation to a chromaticity plane removing intensity variation while maintaining chromaticity differences, and (3) a piecewise linear decomposition combining advantages of spectral angle mapping and linear decomposition yielding relative dye concentrations. The methods described herein were used for evaluation of molecular biology techniques as well as for quantification and interpretation of image-based measurements. Examples of successful applications comprise quantification of colocalization, autofluorescence removal, classification of multicolor rolling circle products, and color decomposition of histological images.
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Zárate, Cáceres Mario Eduardo. "Image acquisition and processing for multi-channel spectral imaging." Master's thesis, Pontificia Universidad Católica del Perú, 2016. http://tesis.pucp.edu.pe/repositorio/handle/123456789/7091.
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Nowadays spectrometers are useful in many applications such as bio-medical technology among other industrial fields. State of the art low-cost spectrometers are usually equipped with linear photoelectric array detectors (line detectors). This thesis covers part of the software development for a low-cost multichannel spectrometer using a
matrix detector instead of a linear array detector. The image acquisition including an automatic integration time optimizer was implemented. Furthermore, algorithms for data extraction and calibration were developed. Finally, the multi-channel-system with the new software was compared with a high-resolution spectrometer and the results were discussed.<br>Tesis
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Tarr, Eric William. "Processing Perceptually Important Temporal and Spectral Characteristics of Speech." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1376913300.
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Parikh, Ankur. "Spectral Probablistic Modeling and Applications to Natural Language Processing." Research Showcase @ CMU, 2015. http://repository.cmu.edu/dissertations/791.
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Probabilistic modeling with latent variables is a powerful paradigm that has led to key advances in many applications such natural language processing, text mining, and computational biology. Unfortunately, while introducing latent variables substantially increases representation power, learning and modeling can become considerably more complicated. Most existing solutions largely ignore non-identifiability issues in modeling and formulate learning as a nonconvex optimization problem, where convergence to the optimal solution is not guaranteed due to local minima. In this thesis, we propose to tackle these problems through the lens of linear/multi-linear algebra. Viewing latent variable models from this perspective allows us to approach key problems such as structure learning and parameter learning using tools such as matrix/tensor decompositions, inversion, and additive metrics. These new tools enable us to develop novel solutions to learning in latent variable models with theoretical and practical advantages. For example, our spectral parameter learning methods for latent trees and junction trees are provably consistent, local-optima-free, and 1-2 orders of magnitude faster thanEMfor large sample sizes. In addition, we focus on applications in Natural Language Processing, using our insights to not only devise new algorithms, but also to propose new models. Our method for unsupervised parsing is the first algorithm that has both theoretical guarantees and is also practical, performing favorably to theCCMmethod of Klein and Manning. We also developed power low rank ensembles, a framework for language modeling that generalizes existing n-gram techniques to non-integer n. It consistently outperforms state-of-the-art Kneser Ney baselines and can train on billion-word datasets in a few hours.
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Qiao, Tong. "Advanced spectral-spatial processing techniques for hyperspectral image analysis." Thesis, University of Strathclyde, 2016. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=26572.
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The main objective of this research is to design and implement novel spectral-spatial processing techniques for hyperspectral image analysis and applications. Although the high dimensionality of hyperspectral image data makes its transmission and storage difficult, the uncompressed data format is still preferred as it avoids compression loss which may degrade classification accuracy. In this thesis, a quality-assured lossy compression scheme based on a modified three dimensional discrete cosine transform is proposed. This novel technique is demonstrated to maintain the integrity of hyperspectral data without degrading the classification accuracy. Furthermore, this work has led to the creation of an effective spectral feature extraction technique which uses curvelet transform and singular spectrum analysis. In addition to this, an original classification framework which combines joint bilateral filtering and an improved sparse representation classifier is presented. Experimental results show that the proposed methodologies outperform most of the state-of-the-art feature extraction and classification techniques commonly employed in the hyperspectral community. This work also demonstrates that hyperspectral imaging combined with advanced signal processing is an effective technology for food quality control applications. For example, when applied to the challenge of performing hyperspectral imaging-based meat quality assessment, the techniques proposed in this work are shown to provide a more effective solution than conventional visible and near-infrared spectroscopic technology. Finally, this thesis provides the first set of results of assessing the quality of beef and lamb samples using an improved data regression technique. To sum up, the outcome of this thesis advances the hyperspectral imaging community by proposing several novel methodologies, and extensive experiments have been conducted to demonstrate their superiority.
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Jamieson, Gary. "Spectral analysis of pulmonary sounds." Thesis, University of Liverpool, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240595.
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Hagen, Thomas Ch. "Elongational Flows in Polymer Processing." Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/29437.
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The production of long, thin polymeric fibers is a main objective of the textile industry. Melt-spinning is a particularly simple and effective technique. In this work, we shall discuss the equations of melt-spinning in viscous and viscoelastic flow. These quasilinear hyperbolic equations model the uniaxial extension of a fluid thread before its solidification.
We will address the following topics: first we shall prove existence, uniqueness, and regularity of solutions. Our solution strategy will be developed in detail for the viscous case. For non-Newtonian and isothermal flows, we shall outline the general ideas. Our solution technique consists of energy estimates and fixed-point arguments in appropriate Banach spaces. The existence result for a simple transport equation is the key to understanding the quasilinear case. The second issue of this exposition will be the stability of the unforced frost line formation. We will give a rigorous justification that, in the viscous regime, the linearized equations obey the ``Principle of Linear Stability''. As a consequence, we are allowed to relate the stability of the associated strongly continuous semigroup to the numerical resolution of the spectrum of its generator. By using a spectral collocation method, we shall derive numerical results on the eigenvalue distribution, thereby confirming prior results on the stability of the steady-state solution.<br>Ph. D.
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Arildsson, Mikael. "Origin and processing of laser doppler spectra /." Linköping : Univ, 2000. http://www.bibl.liu.se/liupubl/disp/disp2000/tek644s.pdf.
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Marks, Lori J., and D. J. Montgomery. "Writing and Word Processing: An Overview of Software Features." Digital Commons @ East Tennessee State University, 1998. https://dc.etsu.edu/etsu-works/3560.
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Stefanou, Marcus S. "Spectral image utility for target detection applications /." Online version of thesis, 2008. http://hdl.handle.net/1850/7043.
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Bonada, Jordi 1973. "Voice Processing and synthesis by performance sampling and spectral models." Doctoral thesis, Universitat Pompeu Fabra, 2009. http://hdl.handle.net/10803/7555.
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La veu cantada és probablement l'instrument musical més complex i més ric en matisos expressius. Al llarg de varies dècades s'ha dedicat molt d'esforç a investigar i estudiar les seves propietats acústiques i a entendre els mecanismes involucrats en la producció de veu cantada, posant especial èmfasis en les seves particularitats i comparant-les amb les de la parla. A més, des de l'aparició de les primeres tècniques de síntesi de so, s'ha intentat imitar i sintetitzar per mitjà de tècniques de processament del senyal. <br/><br/>El principal objectiu d'aquesta recerca doctoral és construir un sintetitzador de veu cantada capaç de reproduir la veu d'un cantant determinat, que tingui la seva mateixa expressió i timbre, que soni natural, i que tingui com a entrades només la partitura i la lletra de una cançó. Aquest és un objectiu molt ambiciós, i en aquesta tesi discutim els principals aspectes de la nostra proposta i identifiquem les qüestions que encara queden obertes.<br>La voz cantada es probablemente el instrumento musical más complejo y el más rico en matices expresivos. A lo largo de varias décadas se ha dedicado mucho esfuerzo de investigación a estudiar sus propiedades acústicas y a entender los mecanismos involucrados en la producción de voz cantada, poniendo especial énfasis en sus particularidades y comparándolas con el habla. Desde la aparición de las primeras técnicas de síntesis de sonido, se ha intentado imitar dichos mecanismos y encontrar maneras de reproducirlos por medio de técnicas de procesado de señal. <br/><br/>El principal objetivo de esta investigación doctoral es construir un sintetizador de voz cantada capaz de reproducir la voz de un cantante determinado, que tenga su misma expresión y timbre, que suene natural, y cuyas entradas sean solamente la partitura y la letra de una canción. Éste es un objetivo muy ambicioso, y en esta tesis discutimos los principales aspectos de nuestra propuesta e identificamos las cuestiones aún sin resolver.<br>Singing voice is one of the most challenging musical instruments to model and imitate. Along several decades much research has been carried out to understand the mechanisms involved in singing voice production. In addition, from the very beginning of the sound synthesis techniques, singing has been one of the main targets to imitate and synthesize, and a large number of synthesizers have been created with that aim. <br/><br/>The final goal of this thesis is to build a singing voice synthesizer capable of reproducing the voice of a given singer, both in terms of expression and timbre, sounding natural and realistic, and whose inputs would be just the score and the lyrics of a song. This is a very difficult goal, and in this dissertation we discuss the key aspects of our proposed approach and identify the open issues that still need to be tackled.
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Wu, Liming. "Spectral methods for post processing of airborne vector gravity data." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/mq20889.pdf.
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Filiberti, Daniel Paul. "Combined Spatial-Spectral Processing of Multisource Data Using Thematic Content." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1066%5F1%5Fm.pdf&type=application/pdf.
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Klein, Alexander. "Special purpose quantum information processing with atoms in optical lattices." Thesis, University of Oxford, 2007. http://ora.ox.ac.uk/objects/uuid:bc67ec3e-3cc7-4d13-ae11-b436b2ca897b.
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Atoms in optical lattices are promising candidates to implement quantum information processing. Their behaviour is well understood on a microscopic level, they exhibit excellent coherence properties, and they can be easily manipulated using external fields. In very deep optical lattices, each atom is restricted to a single lattice site and can be used as a qubit. If the lattice is shallow enough such that the atoms can move, their properties can be used to simulate certain condensed matter phenomena such as superconductivity. In this thesis, we show how technical problems of optical lattices such as restricted decoherence times, or fundamental shortcomings such as the lack of phonons or strong spin interactions, can be overcome by using current or near-future experimental techniques. We introduce a scheme that makes it possible to simulate model Hamiltonians known from high-temperature superconductivity. For this purpose, previous simulation schemes to realise the spin interaction terms are extended. We especially overcome the condition of a filling factor of exactly one, which otherwise would restrict the phase of the simulated system to a Mott-insulator. This scheme makes a large range of parameters accessible, which is difficult to cover with a condensed matter setup. We also investigate the properties of optical lattices submerged into a Bose-Einstein condensate (BEC). A weak-coupling expansion in the BEC-impurity interaction strength is used to derive a model that describes the lattice atoms in terms of polarons, i.e.~atoms dressed by Bogoliubov phonons. This is analogous to the description of electrons in solids, and we observe similar effects such as a crossover from coherent to incoherent transport for increasing temperatures. Moreover, the condensate mediates an attractive off-site interaction, which leads to macroscopic clusters at experimentally realistic parameters. Since the atoms in the lattice can also be used as a quantum register with the BEC mediating a two-qubit gate, we derive a quantum master equation to examine the coherence properties of the atomic qubits. We show that the system exhibits sub- and superdecoherence and that a fast implementation of the two-qubit gate competes with dephasing. Finally, we show how to realise the encoding of qubits in a decoherence-free subspace (DFS) using optical lattices. We develop methods for implementing robust gate operations on qubits encoded in a DFS exploiting collisional interactions between the atoms. We also give a detailed analysis of the performance and stability of the gate operations and show that a robust implementation of quantum repeaters can be achieved using our setup. We compare the robust repeater scheme to one that makes use of conventional qubits only, and show the conditions under which one outperforms the other.
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Yu, Wang S. M. Massachusetts Institute of Technology. "Steklov geometry processing : an extrinsic approach to spectral shape analysis." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118033.
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Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 75-80).<br>We propose using the Dirichlet-to-Neumann operator as an extrinsic alternative to the Laplacian for spectral geometry processing and shape analysis. Intrinsic approaches, usually based on the Laplace-Beltrami operator, cannot capture the spatial embedding of a shape up to rigid motion, and many previous extrinsic methods lack theoretical justification. Instead, we consider the Steklov eigenvalue problem, computing the spectrum of the Dirichlet-to-Neumann operator of a surface bounding a volume. A remarkable property of this operator is that it completely encodes volumetric geometry. We use the boundary element method (BEM) to discretize the operator, accelerated by hierarchical numerical schemes and preconditioning; this pipeline allows us to solve eigenvalue and linear problems on large-scale meshes despite the density of the Dirichlet-to-Neumann discretization. We further demonstrate that our operators naturally fit into existing frameworks for geometry processing, making a shift from intrinsic to extrinsic geometry as simple as substituting the Laplace-Beltrami operator with the Dirichlet-to-Neumann operator.<br>by Yu Wang.<br>S.M.
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Arora, Bholan Ruby. "Processing behaviour of NR latex, with special reference to dipping." Thesis, London Metropolitan University, 1990. http://repository.londonmet.ac.uk/3379/.
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A detailed study of the effect of added ingredients upon processing behaviour of NR latex with reference to dipping has been conducted in an endeavour to further understanding of the fundamental science underlying latex dipping processes.
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Martin, Ian John. "Multi-spectral image segmentation and compression." Thesis, University of Warwick, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.343123.
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Kleinschmidt, Michael. "Robust speech recognition based on spectro-temporal processing." [S.l. : s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=965610276.
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Haghighi-Mood, Ali. "Analysis of phonocardiographic signals using advanced signal processing techniques." Thesis, University of Sussex, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321465.
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Scotch, Melissa. "The Experience of Children Living with Sensory Processing Disorder." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4328.
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Sensory processing disorder (SPD) is a neurological condition that alters the way an individual perceives sensory information. Although the condition has been studied for more than 40 years, SPD remains a difficult condition to diagnose, treat, and live with because it affects individuals uniquely, and the symptoms can change from childhood to adulthood. For children diagnosed with SPD, the misinterpretation of sensory cues can cause difficulties in family, social, and academic settings. While there is some research on the assessment and treatment of SPD, what is missing is a deeper understanding of the family, social and academic challenges these children and their families face. The purpose of this case study was to examine the experiences of children diagnosed with SPD, as told by 4 parents and their occupational therapist in semi-structured interviews. Four themes emerged from the analysis: family dynamics (challenges within the family structure), support impact (seeking and having support), emotion and balance (overcoming the struggles related to the emotional demand), and an SPD child (the search for balance for the child and the family). The results may serve as a catalyst to encourage positive social change for the children with SPD and their families by expanding the available knowledge on the challenges of SPD.
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Jiang, Wei. "Signal processing strategies for ground-penetrating radar." Thesis, University of Bath, 2011. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538111.
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Interpretation of ground penetrating radar (GPR) signals can be a key point in the overall operability of a GPR system. In stepped-frequency and Frequency-Modulated Continuous-Wave (FMCW)GPR systems in particular, the target or object of interest is often located by analysis of Fast Fourier Transform (FFT) derived data. Increasing the GPR system bandwidth can improve resolution, but at the cost of reduced penetrating depth. The challenge is to develop high-resolution signal processing strategies for GPR.A number of Fourier based methods are investigated. However, the main response over a target's position can make it difficult to recognise closely spaced targets. The Least-Suare method is found to be the best autoregression-based estimator. However the method requires high Signal-to-Noise ratio to achieve high- resolution. Furthermore a number of subspace-based methods are investigated. Although the MUItiple Signal Classification (MUSIC) method can theoretically offer infinite resolution, they must be seeded with the number of targets actually present. A superimposed MUSIC technique is proposed to suppress false targets. A novel windowed MUSIC (W-MUSIC) algorithm is developed, and it offers high resolution while still able to minimise spurious responses. Since the performance of any FMCW GPR is critically linked to the linearity of the sweep frequency, the non-linearity in the target range estimation is studied. A Novel Short-Time MUSIC method is proposed and higher time and frequency resolution is achieved than the conventional Short-Time Fourier Transform method. In addition a modified Adaptive Sampling method is proposed to solve the non-linear problem by utilising a reference channel in a GPR system.
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Whitbread, P. J. "Multi-spectral texture : improving classification of multi-spectral images by the integration of spatial information /." Title page, abstract and contents only, 1992. http://web4.library.adelaide.edu.au/theses/09PH/09phw5792.pdf.
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Thesis (Ph. D.)--University of Adelaide, Dept. of Electrical and Electronic Engineering, 1994?<br>One computer disk in pocket inside back cover. System requirements for accompanying computer disk: Macintosh computer. Includes bibliographical references (leaves 148-160).
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Braker, Benjamin M. "Spatial-spectral processing for imaging systems: Multibeam RF imaging and radar systems using spectral hole burning materials." Connect to online resource, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3337181.
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Kenny, Peter Gerard. "The acquisition and analysis of multi-spectral analytical electron microscope images." Thesis, University of York, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.276346.
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Ali, Ali Abbas. "Theory and assessment of an improved power spectral density estimator." Thesis, Cranfield University, 1990. http://dspace.lib.cranfield.ac.uk/handle/1826/4639.
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This thesis is concerned with the processing of time
domain signals received by a single sensor. An example of
such signals is the radar return, which is used in one way
or another to estimate the power spectral density a
frequency representation of the power of the signal in
order that we can pick up and track the moving targets.
since the POWER SPECTRAL DENSITY ESTIMATION is a fundamental
tool in digital signal processing, the theory of the
different approaches to PSDE is given in the Literature
review chapter.
The aim of this research is to develop a technique for
the Power Spectral Density Estimation (PSDE) of multiple
signals in white noise, which has high resolution capability
and less frequency estimation errors. Hence, the various
techniques mentioned above are tested for their detection,
resolution capabilities and performance.
Finally the different parameters affecting the resolution
and detection capabilities of the Eigen Vector Decomposition
Techniques (EVDT) for PSDE are studied in some depth.
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Khallaayoun, Ahmed. "Computer based characterization of a spatial-spectral (s2) material signal processor." Thesis, Montana State University, 2006. http://etd.lib.montana.edu/etd/2006/khallaayoun/KhallaayounA0506.pdf.
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Braun, Gustav J. "Quantitative evaluation of six multi-spectral, multi-resolution image merger routines /." Online version of thesis, 1990. http://hdl.handle.net/1850/11653.
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Kristensson, Martin. "On parameter estimation in wireless communications, sensor array processing and spectral analysis." Doctoral thesis, Stockholm, 1998. http://www.lib.kth.se/abs98/kris1216.pdf.
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Stewart, Shannon Thomas. "Spectral analysis for rod formation dynamics." Thesis, This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-12172008-063238/.
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Yang, Yang. "2D signal processing: efficient models for spectral compressive sensing & single image reflection suppression." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6667.
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Two efficient models in two-dimensional signal processing are proposed in the thesis.
The first model deals with large scale spectral compressive sensing in continuous domain, which aims to recover a 2D spectrally sparse signal from partially observed time samples. The signal is assumed to be a superposition of s complex sinusoids. We propose a semidefinite program for the 2D signal recovery problem. Our model is able to handle large scale 2D signals of size 500*500, whereas traditional approaches only handle signals of size around 20*20.
The second model deals with the problem of single image reflection suppression. Removing the undesired reflection from images taken through glass is of great importance in computer vision. It serves as a means to enhance the image quality for aesthetic purposes as well as to preprocess images in machine learning and pattern recognition applications. We propose a convex model to suppress the reflection from a single input image. Our model implies a partial differential equation with gradient thresholding, which is solved efficiently using Discrete Cosine Transform. Extensive experiments on synthetic and real-world images demonstrate that our approach achieves desirable reflection suppression results and dramatically reduces the execution time compared to the state of the art.
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Bekker, Scott Henry. "Continuous real-time recovery of optical spectral features distorted by fast-chirped readout." Thesis, Montana State University, 2006. http://etd.lib.montana.edu/etd/2006/bekker/BekkerS0506.pdf.
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Sundaramoorthy, Gopalakrishnan. "Improved techniques for bispectral reconstruction of signals /." Online version of print, 1990. http://hdl.handle.net/1850/11456.
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Lo, King Chuen. "Theory and realization of novel algorithms for random sampling in digital signal processing." Thesis, Durham University, 1996. http://etheses.dur.ac.uk/5239/.
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Random sampling is a technique which overcomes the alias problem in regular sampling. The randomization, however, destroys the symmetry property of the transform kernel of the discrete Fourier transform. Hence, when transforming a randomly sampled sequence to its frequency spectrum, the Fast Fourier transform cannot be applied and the computational complexity is N(^2). The objectives of this research project are (1) To devise sampling methods for random sampling such that computation may be reduced while the anti-alias property of random sampling is maintained : Two methods of inserting limited regularities into the randomized sampling grids are proposed. They are parallel additive random sampling and hybrid additive random sampling, both of which can save at least 75% of the multiplications required. The algorithms also lend themselves to the implementation by a multiprocessor system, which will further enhance the speed of the evaluation. (2) To study the auto-correlation sequence of a randomly sampled sequence as an alternative means to confirm its anti-alias property : The anti-alias property of the two proposed methods can be confirmed by using convolution in the frequency domain. However, the same conclusion is also reached by analysing in the spatial domain the auto-correlation of such sample sequences. A technique to evaluate the auto-correlation sequence of a randomly sampled sequence with a regular step size is proposed. The technique may also serve as an algorithm to convert a randomly sampled sequence to a regularly spaced sequence having a desired Nyquist frequency. (3) To provide a rapid spectral estimation using a coarse kernel : The approximate method proposed by Mason in 1980, which trades the accuracy for the speed of the computation, is introduced for making random sampling more attractive. (4) To suggest possible applications for random and pseudo-random sampling : To fully exploit its advantages, random sampling has been adopted in measurement Random sampling is a technique which overcomes the alias problem in regular sampling. The randomization, however, destroys the symmetry property of the transform kernel of the discrete Fourier transform. Hence, when transforming a randomly sampled sequence to its frequency spectrum, the Fast Fourier transform cannot be applied and the computational complexity is N"^. The objectives of this research project are (1) To devise sampling methods for random sampling such that computation may be reduced while the anti-alias property of random sampling is maintained : Two methods of inserting limited regularities into the randomized sampling grids are proposed. They are parallel additive random sampling and hybrid additive random sampling, both of which can save at least 75% , of the multiplications required. The algorithms also lend themselves to the implementation by a multiprocessor system, which will further enhance the speed of the evaluation. (2) To study the auto-correlation sequence of a randomly sampled sequence as an alternative means to confirm its anti-alias property : The anti-alias property of the two proposed methods can be confirmed by using convolution in the frequency domain. However, the same conclusion is also reached by analysing in the spatial domain the auto-correlation of such sample sequences. A technique to evaluate the auto-correlation sequence of a randomly sampled sequence with a regular step size is proposed. The technique may also serve as an algorithm to convert a randomly sampled sequence to a regularly spaced sequence having a desired Nyquist frequency. (3) To provide a rapid spectral estimation using a coarse kernel : The approximate method proposed by Mason in 1980, which trades the accuracy for the speed of the computation, is introduced for making random sampling more attractive. (4) To suggest possible applications for random and pseudo-random sampling : To fully exploit its advantages, random sampling has been adopted in measurement instruments where computing a spectrum is either minimal or not required. Such applications in instrumentation are easily found in the literature. In this thesis, two applications in digital signal processing are introduced. (5) To suggest an inverse transformation for random sampling so as to complete a two-way process and to broaden its scope of application. Apart from the above, a case study of realizing in a transputer network the prime factor algorithm with regular sampling is given in Chapter 2 and a rough estimation of the signal-to-noise ratio for a spectrum obtained from random sampling is found in Chapter 3. Although random sampling is alias-free, problems in computational complexity and noise prevent it from being adopted widely in engineering applications. In the conclusions, the criteria for adopting random sampling are put forward and the directions for its development are discussed.
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Forder, Lewis. "The time course of the influence of colour terms on visual processing." Thesis, University of Sussex, 2016. http://sro.sussex.ac.uk/id/eprint/60415/.
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This thesis explores whether colour terms (e.g., “red”, “blue”, “purple”, etc.) influence visual processing of colour, and if so, the time course of any effect. Broadly, this issue relates to debate concerning whether language affects the way we perceive the world (i.e., the theory of linguistic relativity). Three of the experiments conducted used the event-related potential method (ERP), taking electrophysiological measurements of visual processing and visual cognition in human participants. The ERP provides high-resolution information about the timing of neural activity in the brain and can therefore be used to effectively investigate the time course of a potential influence of colour terms on visual processing. The first study, using a behavioural approach, identified that colour terms can influence the detection of colours and colour-associated objects suppressed from awareness by continuous flash suppression. The second study found that a cross-linguistic difference in colour lexicons affected a post-perceptual ERP component (the P2-N2 complex), but not sensory ERP components occurring early in visual processing. However, the third study found that differences in colour naming within a language do affect an early sensory ERP component (the P1). The final study used ERPs to identify a post-perceptual neural marker (in the posterior P2 component) for the unique ‘pure' hues (red, yellow, green, and blue), which had previously only been defined and identified linguistically. All of the studies provide evidence that colour terms affect colour processing, and the specific time course of this effect is identified as being task-dependent. These findings have implications for broader debate about the influence of language on visual cognition and perception.
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Rosenblum, Wendy. "Optimal selection of textural and spectral features for scene segmentation /." Online version of thesis, 1990. http://hdl.handle.net/1850/11492.
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Eastwood, James Andrew. "The effect of canopy chlorosis distributions on vegetation spectral signatures." Thesis, University of Nottingham, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240296.
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Bülow, Thomas [Verfasser]. "Hypercomplex Spectral Signal Representations for the Processing and Analysis of Images / Thomas Bülow." Kiel : Universitätsbibliothek Kiel, 1999. http://d-nb.info/1080332537/34.
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