Academic literature on the topic 'Spectal Processing'

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Journal articles on the topic "Spectal Processing"

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Carlsohn, Matthias F. "Special issue on spectral imaging: Real-time processing of hyperspectral data." Journal of Real-Time Image Processing 1, no. 2 (2006): 99–100. http://dx.doi.org/10.1007/s11554-006-0020-y.

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Ostrikov, V. N., O. V. Plakhotnikov, and A. V. Kirienko. "Application of aviation video-spectral survey to search for fragments of separating parts of launch vehicles on the ground." Исследования Земли из Космоса, no. 2 (May 21, 2019): 45–54. http://dx.doi.org/10.31857/s0205-96142019245-54.

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The possibility of detecting debris fragments of separating parts of launch vehicles on the ground on the basis of video spectral (hyperspectral) aerial survey data processing in the range of 0.4-1.0 µm is considered. Evaluation of the quality of special methods pre-correction when comparing, during thematic processing, measures the spectral vicinity – the special delta-vector metric, modified metric Terebizh, factor correlations, and sub-pixel method.
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Zhang, H., O. Van Kaick, and R. Dyer. "Spectral Mesh Processing." Computer Graphics Forum 29, no. 6 (2010): 1865–94. http://dx.doi.org/10.1111/j.1467-8659.2010.01655.x.

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Görlitz, L., B. H. Menze, B. M. Kelm, and F. A. Hamprecht. "Processing spectral data." Surface and Interface Analysis 41, no. 8 (2009): 636–44. http://dx.doi.org/10.1002/sia.3066.

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Tovée, Martin J. "Is Face Processing Special?" Neuron 21, no. 6 (1998): 1239–42. http://dx.doi.org/10.1016/s0896-6273(00)80644-3.

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He, Dr Lizhong, and Anton Middelberg. "Special Issue—Downstream Processing." Food and Bioproducts Processing 84, no. 1 (2006): 1. http://dx.doi.org/10.1205/fpb.ed.0601.

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Cheung, Gene, Enrico Magli, Yuichi Tanaka, and Michael K. Ng. "Graph Spectral Image Processing." Proceedings of the IEEE 106, no. 5 (2018): 907–30. http://dx.doi.org/10.1109/jproc.2018.2799702.

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Rosa, A. L. R., and T. J. Ulrych. "Processing via spectral modeling." GEOPHYSICS 56, no. 8 (1991): 1244–51. http://dx.doi.org/10.1190/1.1443144.

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The widespread occurrence of subtle trap accumulations offshore Brazil has led to the need for the development of a high resolution processing scheme that helps the delineation of these features. The process consists of three stages, the first of which is deterministic and stochastic deconvolution. The second stage is the deconvolution of the residual wavelet by means of spectral modeling. The last stage consists of the correction of the color of the reflectivity function using a model developed for the area. An important conclusion that is drawn from the model is that the acoustic impedance is not white. Rather it is as red as the corresponding reflectivity is blue. Successful results from the application of the proposed technique to real data indicate that the color compensation is of second order importance as compared with the first two stages of the proposed scheme.
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Wensheng Zhai, Wensheng Zhai, Xinlu Gao Xinlu Gao, Wenjing Xu Wenjing Xu, et al. "Microwave photonic phase shifter with spectral separation processing using a linear chirped fiber Bragg grating." Chinese Optics Letters 14, no. 4 (2016): 040601–40604. http://dx.doi.org/10.3788/col201614.040601.

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Toriwaki, Jun-ichiro. "Special Issue Image Processing. 1. Image Processing. Introduction." Journal of the Institute of Television Engineers of Japan 46, no. 11 (1992): 1386–92. http://dx.doi.org/10.3169/itej1978.46.1386.

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Dissertations / Theses on the topic "Spectal Processing"

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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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Books on the topic "Spectal Processing"

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Belkić, Dž. Quantum-mechanical signal processing and spectral analysis. Institute of Physics, 2005.

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Digital signal processing: Spectral computation and filter design. Oxford University Press, 2001.

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Murphy, Malachy Sean. Speech processing for a spectral pole-zero model. The Author], 1988.

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Seismic reflection processing: With special reference to anisotropy. Springer, 2004.

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Alessio, Silvia Maria. Digital Signal Processing and Spectral Analysis for Scientists. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25468-5.

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Manolakis, Dimitris G. Statistical and adaptive signal processing: Spectral estimation, signal modeling, adaptive filtering, and array processing. McGraw-Hill, 2000.

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K, Ingle Vinay, and Kogon Stephen M, eds. Statistical and adaptive signal processing: Spectral estimation, signal modeling, adaptive filtering, and array processing. Artech House, 2005.

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Nossek, Josef A. Parallel Processing on VLSI Arrays: A Special Issue of Journal of VLSI Signal Processing. Springer US, 1991.

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Caringella, Francesco. I processi amministrativi speciali. Giuffrè, 1999.

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Elizabeth, Slomba, and Society of American Archivists, eds. How to manage processing in archives and special collections. Society of American Archivists, 2012.

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Book chapters on the topic "Spectal Processing"

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Bonada, J., X. Serra, X. Amatriain, and A. Loscos. "Spectral Processing." In DAFX: Digital Audio Effects. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119991298.ch10.

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Lazzarini, Victor, Steven Yi, John ffitch, Joachim Heintz, Øyvind Brandtsegg, and Iain McCurdy. "Spectral Processing." In Csound. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45370-5_14.

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Harrison, Ken M. "Processing Spectra." In Patrick Moore's Practical Astronomy Series. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-1397-4_4.

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Harrison, Ken M. "Processing Spectra." In Patrick Moore's Practical Astronomy Series. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7239-2_10.

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Michler, Goerg H. "Special Processing Forms." In Atlas of Polymer Structures. Carl Hanser Verlag GmbH & Co. KG, 2015. http://dx.doi.org/10.3139/9781569905586.012.

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Bennett, Christopher L. "Real-time spectral processing." In Digital Audio Theory. Focal Press, 2020. http://dx.doi.org/10.4324/9780429297144-13.

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Voigt, Paul, and Axel von dem Bussche. "Special Data Processing Activities." In The EU General Data Protection Regulation (GDPR). Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57959-7_9.

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Chonavel, Thierry. "Rational Spectral Densities." In Statistical Signal Processing. Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0139-0_10.

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Chonavel, Thierry. "Parametric Spectral Estimation." In Statistical Signal Processing. Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0139-0_13.

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Simovici, Dan A., and Chabane Djeraba. "Special Metrics." In Advanced Information and Knowledge Processing. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6407-4_14.

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Conference papers on the topic "Spectal Processing"

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Lévy, Bruno, and Hao (Richard) Zhang. "Spectral mesh processing." In ACM SIGGRAPH ASIA 2009 Courses. ACM Press, 2009. http://dx.doi.org/10.1145/1665817.1665834.

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Lévy, Bruno, and Hao (Richard) Zhang. "Spectral mesh processing." In ACM SIGGRAPH 2010 Courses. ACM Press, 2010. http://dx.doi.org/10.1145/1837101.1837109.

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Antonacci, Julian, Gustavo J. Meschino, Lucia I. Passoni, and Gustavo F. Arenas. "Spectral Fizeau Interferometer spectra processing by means of a fuzzy inference system." In 2015 XVI Workshop on Information Processing and Control (RPIC). IEEE, 2015. http://dx.doi.org/10.1109/rpic.2015.7497078.

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Ravindranath, M., Chakravarthy Bhagvati, and B. L. Deekshatulu. "Spectral colour image processing." In 2011 IEEE International Conference on Image Information Processing (ICIIP). IEEE, 2011. http://dx.doi.org/10.1109/iciip.2011.6108962.

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Shchurov, M. A., and A. G. Rudnitskiy. "Lineviewer — program of the astro space locator (asl) package for constructing and processing averaged spectra." In Всероссийская с международным участием научная конференция студентов и молодых ученых, посвященная памяти Полины Евгеньевны Захаровой «Астрономия и исследование космического пространства». Ural University Press, 2021. http://dx.doi.org/10.15826/b978-5-7996-3229-8.53.

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LineViewer program operation a description and demonstration is presented. It is focused on the galactic and extragalactic masers primary spectra processing and visualization of observational data obtained with the SRT-10 space radio telescope (the “Radioastron” project). LineViewer is written in C ++ and is intended for correcting the signal bandwidth, constructing and analyzing the maser sources spectra averaged over time and fringe rate, and identifying maser spectral lines. The LineViewer software allows to analyze quickly the intermediate result and adjust it to obtain the relevant parameters for improving or detecting the correlation in spectral lines.
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Meyer, Torsten, Daniel Raumer, Florian Wohlfart, Bernd E. Wolfinger, and Georg Carle. "Low latency packet processing in software routers." In 2014 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS). IEEE, 2014. http://dx.doi.org/10.1109/spects.2014.6879993.

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Zhang, Yi, and Yunxin Zhao. "Spectral subtraction on real and imaginary modulation spectra." In ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2011. http://dx.doi.org/10.1109/icassp.2011.5947415.

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Runge, Torsten M., Alexander Beifuss, and Bernd E. Wolfinger. "Low latency network traffic processing with commodity hardware." In 2015 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS). IEEE, 2015. http://dx.doi.org/10.1109/spects.2015.7285296.

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Pascoal, R., C. Guedes Soares, and A. J. So̸rensen. "Ocean Wave Spectral Estimation Using Vessel Wave Frequency Motions." In ASME 2005 24th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2005. http://dx.doi.org/10.1115/omae2005-67584.

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Parametric and non-parametric spectral descriptions are used to estimate the wave spectra from wave frequency motions of a vessel at low advance speed, using minimization procedures based on a constrained gradient search and a genetic algorithm. The parametric description provides smooth power spectral energies as a result of the analytic spectral description. The non-parametric requires a smoothing post processing if very good readability is needed. It has been concluded that the non-parametric description is faster, more robust to model errors and likely to be a better formulation for adaptive algorithms.
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"Special topic in signal processing." In 2012 10th International Symposium on Electronics and Telecommunications (ISETC). IEEE, 2012. http://dx.doi.org/10.1109/isetc.2012.6408161.

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Reports on the topic "Spectal Processing"

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Sargent, John T., and Frederick K. Frantz. Audio Spectral Processing. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada520926.

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Dagenais, Mario. Active Optical Filters for Spectral Processing (AASERT). Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada301964.

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Young, Shelton R., Terry Wing, Richard Kotecki, et al. Logistics: Defense Logistics Agency Processing of Special Program Requirements. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada432936.

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Dagenais, Mario. Spectral Processing on Wavelength Encoded Signals in Semiconductor Laser Amplifiers. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada382648.

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Mossberg, Thomas W. Spatial-Spectral Holographic Approaches to the Storage, Processing, and Manipulation of Optical Data Streams. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada375764.

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Smith, Bradley W. Distributed Computing for Signal Processing: Modeling of Asynchronous Parallel Computation. Appendix G. On the Design and Modeling of Special Purpose Parallel Processing Systems. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada167622.

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Nuttall, Albert H. Second-Order Statistics of Spectral and Correlation Estimates Obtained by Means of Weighted Overlapped FFT Processing. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada439705.

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Keahava, N. Distance Metrics and Band Selection in Hyperspectral Processing with Applications to Material Identification and Spectral Libraries. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada409023.

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Dickens, Brian, and Eric Byrd. Programs to Estimate UV Dosage and Damage. National Institute of Standards and Technology, 1999. http://dx.doi.org/10.6028/nist.ir.7500.

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The system of programs described in this paper is concerned with estimating the damage ensuing from exposure of specimens in dry and humid atmospheres to UV and visible radiation covering the solar range. Damage is monitored quantitatively by changes in IR spectra. The dose is estimated from UV spectra of the lamps and the interference filters (used to isolate a particular wavelength range). The dosage is estimated from the dose and the UV absorption of the specimens themselves. These programs allow rapid estimation of dosage and damage from regions of data, and manipulation and processing of the massive amounts of data required to carry out such comprehensive tests in a complete yet user-friendly manner.
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Nuttall, Albert H., and David Middleton. Spectra and Covariances for 'Classical' Nonlinear Signal Processing Problems Involving Class A Non-Gaussian Noise. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada237388.

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