Relevant bibliographies by topics / Signal processing chain

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Signal processing chain'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Signal processing chain"

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Volić, Ismar. "Topological Methods in Signal Processing." B&H Electrical Engineering 14, s1 (2020): 14–25. http://dx.doi.org/10.2478/bhee-2020-0002.

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Abstract This article gives an overview of the applications of algebraic topology methods in signal processing. We explain how the notions and invariants such as (co)chain complexes and (co)homology of simplicial complexes can be used to gain insight into higher-order interactions of signals. The discussion begins with some basic ideas in classical circuits, continues with signals over graphs and simplicial complexes, and culminates with an overview of sheaf theory and the connections between sheaf cohomology and signal processing.
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Tourneret, Jean-Yves, and Olive Cappé. "Signal processing special issue on Markov Chain Monte Carlo (MCMC) methods for signal processing." Signal Processing 81, no. 1 (2001): 1–2. http://dx.doi.org/10.1016/s0165-1684(00)00186-9.

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ELLIOTT, ROBERT J., WILLIAM C. HUNTER, and BARBARA M. JAMIESON. "FINANCIAL SIGNAL PROCESSING: A SELF CALIBRATING MODEL." International Journal of Theoretical and Applied Finance 04, no. 04 (2001): 567–84. http://dx.doi.org/10.1142/s0219024901001140.

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Previous work on multifactor term structure models has proposed that the short rate process is a function of some unobserved diffusion process. We consider a model in which the short rate process is a function of a Markov chain which represents the "state of the world". This enables us to obtain explicit expressions for the prices of zero-coupon bonds and other securities. Discretizing our model allows the use of signal processing techniques from Hidden Markov Models. This means we can estimate not only the unobserved Markov chain but also the parameters of the model, so the model is self-cali
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Adl, Sanaz, and Martin Peckerar. "Low-Noise Signal Processing Chain for High Capacitance Sensors." IEEE Sensors Journal 8, no. 11 (2008): 1864–70. http://dx.doi.org/10.1109/jsen.2008.2006258.

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Renoult, Julien P., and Tamra C. Mendelson. "Processing bias: extending sensory drive to include efficacy and efficiency in information processing." Proceedings of the Royal Society B: Biological Sciences 286, no. 1900 (2019): 20190165. http://dx.doi.org/10.1098/rspb.2019.0165.

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Communication signals often comprise an array of colours, lines, spots, notes or odours that are arranged in complex patterns, melodies or blends. Receiver perception is assumed to influence preference and thus the evolution of signal design, but evolutionary biologists still struggle to understand how perception, preference and signal design are mechanistically linked. In parallel, the field of empirical aesthetics aims to understand why people like some designs more than others. The model of processing bias discussed here is rooted in empirical aesthetics, which posits that preferences are i
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Majchrzak, Jarosław, and Grzegorz Wiczyński. "Basic Characteristics of IEC Flickermeter Processing." Modelling and Simulation in Engineering 2012 (2012): 1–9. http://dx.doi.org/10.1155/2012/362849.

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Flickermeter is a common name for a system that measures the obnoxiousness of flicker caused by voltage fluctuations. The output of flickermeter is a value of short-term flicker severity indicator, . This paper presents the results of the numerical simulations that reconstruct the processing of flickermeter in frequency domain. With the use of standard test signals, the characteristics of flickermeter were determined for the case of amplitude modulation of input signal, frequency modulation of input signal, and for input signal with interharmonic component. For the needs of simulative research
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Sanchez, Victoria, Antonio M. Peinado, Jose L. Pérez-Córdoba, and Angel M. Gómez. "A new signal characterization and signal-based Chou's PseAAC representation of protein sequences." Journal of Bioinformatics and Computational Biology 13, no. 05 (2015): 1550024. http://dx.doi.org/10.1142/s0219720015500249.

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Most of the algorithms used for information extraction and for processing the amino acid chains that make up proteins treat them as symbolic chains. Fewer algorithms exploit signal processing techniques that require a numerical representation of amino acid chains. However, these algorithms are very powerful for extracting regularities that cannot be detected when working with a symbolic chain, which may be important for understanding the biological meaning of a sequence or in classification tasks. In this study, a new mathematical representation of amino acid chains is proposed, which is deriv
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Haidaris, PJ, and MA Courtney. "Liver-specific RNA processing of the ubiquitously transcribed rat fibrinogen gamma-chain gene." Blood 79, no. 5 (1992): 1218–24. http://dx.doi.org/10.1182/blood.v79.5.1218.1218.

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Abstract Fibrinogen gamma-chains differ in amino acid sequence at the carboxyterminus due to alternative 3′ RNA processing. Previous studies reported differences between humans and rats in the mechanism of gamma- chain RNA processing and that it was a nonregulated event. To test the hypothesis that rat gamma-chain RNA processing involves both alternative splicing and poly(A) site selection and that it is regulated in a tissue-specific manner, we determined the tissue distribution of gamma-chain mRNA expression and the pattern of gamma- chain pre-mRNA processing. The results of in situ hybridiz
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Haidaris, PJ, and MA Courtney. "Liver-specific RNA processing of the ubiquitously transcribed rat fibrinogen gamma-chain gene." Blood 79, no. 5 (1992): 1218–24. http://dx.doi.org/10.1182/blood.v79.5.1218.bloodjournal7951218.

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Fibrinogen gamma-chains differ in amino acid sequence at the carboxyterminus due to alternative 3′ RNA processing. Previous studies reported differences between humans and rats in the mechanism of gamma- chain RNA processing and that it was a nonregulated event. To test the hypothesis that rat gamma-chain RNA processing involves both alternative splicing and poly(A) site selection and that it is regulated in a tissue-specific manner, we determined the tissue distribution of gamma-chain mRNA expression and the pattern of gamma- chain pre-mRNA processing. The results of in situ hybridization dem
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Fitzgerald, W. J. "Markov chain Monte Carlo methods with applications to signal processing." Signal Processing 81, no. 1 (2001): 3–18. http://dx.doi.org/10.1016/s0165-1684(00)00187-0.

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Dissertations / Theses on the topic "Signal processing chain"

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O'Ruanaidh, Joseph J. K. "Numerical Bayesian methods applied to signal processing." Thesis, University of Cambridge, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.339465.

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Sachdeva, Rajiv. "Signal processing algorithms and radiation hard electronics for the CMS tracking detector." Thesis, Imperial College London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318228.

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Smith, Roy M. "Using kill-chain analysis to develop surface ship CONOPS to defend against anti-ship cruise missiles." Thesis, Monterey, California : Naval Postgraduate School, 2010. http://edocs.nps.edu/npspubs/scholarly/theses/2010/Jun/10Jun%5FSmith%5FRoy.pdf.

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Thesis (M.S. in Systems Engineering Management)--Naval Postgraduate School, June 2010.<br>Thesis Advisor(s): Green, J. M.; Second Reader: Hart, D. A. "June 2010." Description based on title screen as viewed on July 14, 2010. Author(s) subject terms: Anti-ship Cruise Missile, ASCAM, Survivability, Probability, Kill Chain, Monte Carlo, Decision Tree, Surface to Air Missile, Close in Weapon System, Countermeasures. Includes bibliographical references (p. 49-50). Also available in print.
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Nilsson, Mats. "Building Reconstruction of Digital Height Models with the Markov Chain Monte Carlo Method." Thesis, Linköpings universitet, Datorseende, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148886.

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Data about the earth is increasing in value and demand from customers, but itis difficult to produce accurately and cheap. This thesis examines if it is possible to take low resolution and distorted 3D data and increase the accuracy of building geometry by performing building reconstruction. Building reconstruction is performed with a Markov chain Monte Carlo method where building primitives are placed iteratively until a good fit is found. The digital height model and pixel classification used is produced by Vricon. The method is able to correctly place primitive models, but often overestimat
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Ben, Krit Sabrine. "Etude et développement d’une chaine de traitement analogique du signal dédiée à la détection de particules en environnement sévère." Thesis, Aix-Marseille, 2015. http://www.theses.fr/2015AIXM4388.

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Le travail présenté dans ce mémoire est basé sur l’étude et le développement d’une chaine analogique de traitement du signal destinée à la détection de particules issues d’un réacteur nucléaire. Le détecteur de radiations relatif à cette chaine, étant placé au cœur du réacteur (hautes températures et radiations), deux scénarii d’intégration de la chaine analogique en environnement sévère ont été étudiés. Tandis que le premier scénario consiste à placer le préamplificateur et l’amplificateur de mise en forme loin du détecteur, le deuxième est basé sur l’intégration de ces blocs analogiques en e
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Ben, Krit Sabrine. "Etude et développement d’une chaine de traitement analogique du signal dédiée à la détection de particules en environnement sévère." Electronic Thesis or Diss., Aix-Marseille, 2015. http://www.theses.fr/2015AIXM4388.

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Le travail présenté dans ce mémoire est basé sur l’étude et le développement d’une chaine analogique de traitement du signal destinée à la détection de particules issues d’un réacteur nucléaire. Le détecteur de radiations relatif à cette chaine, étant placé au cœur du réacteur (hautes températures et radiations), deux scénarii d’intégration de la chaine analogique en environnement sévère ont été étudiés. Tandis que le premier scénario consiste à placer le préamplificateur et l’amplificateur de mise en forme loin du détecteur, le deuxième est basé sur l’intégration de ces blocs analogiques en e
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Senegas, Julien. "Méthodes de Monte Carlo en Vision Stéréoscopique." Phd thesis, École Nationale Supérieure des Mines de Paris, 2002. http://tel.archives-ouvertes.fr/tel-00005637.

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Cette thèse a pour objet l'étude de l'incertitude attachée à l'estimation de la géometrie d'une scène à partir d'un couple stéréoscopique d'images. La mise en correspondance des points homologues d'un couple suppose la similarité locale des deux images et nécessite une information radiométrique discriminante. Dans de nombreuses situations cependant (déformations géométriques, bruit d'acquisition, manque de contraste, ....), ces hypothèses sont mises en défaut et les erreurs d'appariemment qui en résultent dépendent fortement de l'information contenue dans le couple et non du sytème stéréoscopi
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Kerr, Grégoire Henry Gérard. "Quality assessment for hyperspectral airborne systems." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät, 2015. http://dx.doi.org/10.18452/17275.

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Im Rahmen dieser Arbeit wird ein Konzept entwickelt und umgesetzt, welches eine umfassende Bewertung von Daten flugzeuggetragener hyperspektraler Systeme ermöglicht. Es baut auf mehreren aktuellen Initiativen zur Erfassung der Datenqualität flugzeuggetragener Sensoren auf: Der ''European Facility for Airborne Reseach'', der ''Quality Assessment for Earth Observation Workgroup'' und dem ''Joint Committee for Guides in Metrology''. Bei der Befliegung eines Gebietes mit hyperspektralen Sensorsystemen werden mehrere, teilweise sich überlappende, Flugstreifen aufgenommen. Es wird vorgeschlagen, die
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Caron, Francois. "Inférence bayésienne pour la détermination et lasélection de modèles stochastiques." Phd thesis, Ecole Centrale de Lille, 2006. http://tel.archives-ouvertes.fr/tel-00140088.

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On s'intéresse à l'ajout d'incertitudes supplémentaires dans les modèles de Markov cachés. L'inférence est réalisée dans un cadre bayésien à l'aide des méthodes de Monte Carlo. Dans un cadre multicapteur, on suppose que chaque capteur peut commuter entre plusieurs états de fonctionnement. Un modèle à saut original est développé et des algorithmes de Monte Carlo efficaces sont présentés pour différents types de situations, prenant en compte des données synchrones/asynchrones et le cas binaire capteur valide/défaillant. Le modèle/algorithme développé est appliqué à la localisation d'un véhicule
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Al-Aboodi, Maher. "Enhanced receiver architectures for processing multi GNSS signals in a single chain : based on partial differential equations mathematical model." Thesis, University of Buckingham, 2016. http://bear.buckingham.ac.uk/136/.

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The focus of our research is on designing a new architecture (RF front-end and digital) for processing multi GNSS signals in a single receiver chain. The motivation is to save in overhead cost (size, processing time and power consumption) of implementing multiple signal receivers side-by-side on-board Smartphones. This thesis documents the new multi-signal receiver architecture that we have designed. Based on this architecture, we have achieved/published eight novel contributions. Six of these implementations focus on multi GNSS signal receivers, and the last two are for multiplexing Bluetooth
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Books on the topic "Signal processing chain"

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Web-based supply chain management and digital signal processing: Methods for effective information administration and transmission. Business Science Reference, 2010.

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Ramachandra, Manjunath. Web-based supply chain management and digital signal processing: Methods for effective information administration and transmission. Business Science Reference, 2010.

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Manjunath, R. Web-based supply chain management and digital signal processing: Methods for effective information administration and transmission. Business Science Reference, 2010.

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A, Ionson James, Nichols R. W, Society of Photo-optical Instrumentation Engineers., and Innovative Science and Technology Symposium (1988 : Los Angeles, Calif.), eds. Sensing, discrimination, and signal processing and superconducting materials and instrumentation: 12-14 January 1988, Los Angeles, California : part of the 1988 Innovative Science and Technology Symposium, James A. Ionson, symposium chair. The Society, 1988.

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Book chapters on the topic "Signal processing chain"

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Ó Ruanaidh, Joseph J. K., and William J. Fitzgerald. "Markov Chain Monte Carlo Methods." In Numerical Bayesian Methods Applied to Signal Processing. Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-0717-7_4.

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Holder, Martin, Zora Slavik, and Thomas D’hondt. "Radar Signal Processing Chain for Sensor Model Development." In Validation and Verification of Automated Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14628-3_11.

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Duan, Peng, and Ying Li. "Research on University Network Ecological Governance Based on Block Chain Technology." In 3D Imaging Technologies—Multidimensional Signal Processing and Deep Learning. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3180-1_21.

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Wang, Wei-Hsiang, Yuan-Cheng Cheng, Chin-Shiuh Shieh, Yu-Peng Chiang, Chun-Chih Lo, and Mong-Fong Horng. "A Study on Stock-Recommendation Based on Supply Chain Dependence Information Analysis." In Advances in Intelligent Information Hiding and Multimedia Signal Processing. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1053-1_32.

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Sinharay, Arijit, Debatri Chatterjee, and Arpan Pal. "Cognitive Load Detection on Commercial EEG Devices: An Optimized Signal Processing Chain." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19656-5_14.

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Liu, Zhen Hong, Gong Liang Hu, Tie Hua Zhou, and Ling Wang. "TDT_CC: A Hot Topic Detection and Tracking Algorithm Based on Chain of Causes." In Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03745-1_4.

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Meena, S., and T. Girija. "A Study in Analysing the Critical Determinants of Internet of Things (IoT) Based Smart Processing for Sustainable Supply Chain Management." In Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39811-7_23.

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Cozzolino, Davide, and Luisa Verdoliva. "Multimedia Forensics Before the Deep Learning Era." In Handbook of Digital Face Manipulation and Detection. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87664-7_3.

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AbstractImage manipulation is as old as photography itself, and powerful media editing tools have been around for a long time. Using such conventional signal processing methods, it is possible to modify images and videos obtaining very realistic results. This chapter is devoted to describe the most effective strategies to detect the widespread manipulations that rely on traditional approaches and do not require a deep learning strategy. In particular, we will focus on manipulations like adding, replicating, or removing objects and present the major lines of research in multimedia forensics before the deep learning era and the rise of deepfakes. The most popular approaches look for artifacts related to the in-camera processing chain (camera-based clues) or the out-camera processing history (editing-based clues). We will focus on methods that rely on the extraction of a camera fingerprint and need some prior information on pristine data, for example, through a collection of images taken from the camera of interest. Then we will shift to blind methods that do not require any prior knowledge and reveal inconsistencies with respect to some well-defined hypotheses. We will also briefly review the most interesting features of machine learning- based methods and finally present the major challenges in this area.
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Ferrero-Guillén, Rubén, Javier Díez-González, Paula Verde, Alberto Martínez-Gutiérrez, José-Manuel Alija-Pérez, and Hilde Perez. "Memory Chains for Optimizing the Table Disposition During the COVID-19 Pandemic." In Bioengineering and Biomedical Signal and Image Processing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88163-4_40.

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Schimz, Angelika, and Eilo Hildebrand. "Processing of Photosensory Signals in Halobacterium halobium. Common Features of the Bacterial Signalling Chain and of Information Processing in Higher Developed Organisms." In Biophysics of Photoreceptors and Photomovements in Microorganisms. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-5988-3_18.

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Conference papers on the topic "Signal processing chain"

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Woodward, T. K., A. Agarwal, T. Banwell, and P. Toliver. "Optics in the signal processing chain." In 2012 IEEE Photonics Conference (IPC). IEEE, 2012. http://dx.doi.org/10.1109/ipcon.2012.6358790.

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Erickson, P. J., W. C. Rideout, and F. D. Lind. "Signal chain architectures for efficient ionospheric radar processing." In 2013 US National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM). IEEE, 2013. http://dx.doi.org/10.1109/usnc-ursi-nrsm.2013.6525061.

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Zhang, Xinming, Yi Zhang, Pengxiu Liu, Zhenzhong Dong, and Shuang Tian. "A sequential chain directional transmission-based localization algorithm." In Signal Processing (WCSP 2009). IEEE, 2009. http://dx.doi.org/10.1109/wcsp.2009.5371433.

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Pancrazzi, M., M. Focardi, M. Uslenghi, et al. "The solar orbiter METIS coronagraph data signal processing chain." In SPIE Optical Systems Design. SPIE, 2011. http://dx.doi.org/10.1117/12.896506.

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Pirkani, A., S. Pooni, S. Cassidy, et al. "SINR Improvement Across the Automotive Radar Signal Processing Chain." In 2022 19th European Radar Conference (EuRAD). IEEE, 2022. http://dx.doi.org/10.23919/eurad54643.2022.9924759.

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Belin, Sebastien, Serge Villers, and Alain Conde Reis. "Requirements toward GNSS chain for Ariane 5 mid-life evolution." In European Workshop on GNSS Signals and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/navitec.2010.5708078.

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Tichavský, Petr, and Anh-Huy Phan. "Tensor Chain Decomposition and Function Interpolation." In 2023 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2023. http://dx.doi.org/10.1109/ssp53291.2023.10207942.

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Maunu, Janne, Mika Laiho, Tero Koivisto, Kati Virtanen, Mikko Pankaala, and Ari Paasio. "Mixed-signal baseband processing chain for a MB-OFDM receiver." In 2008 15th IEEE International Conference on Electronics, Circuits and Systems - (ICECS 2008). IEEE, 2008. http://dx.doi.org/10.1109/icecs.2008.4674892.

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Comoretto, Giovanni, Jader Monari, Carolina Belli, et al. "The signal processing chain of the Low Frequency Aperture Array." In Ground-based and Airborne Telescopes VIII, edited by Heather K. Marshall, Jason Spyromilio, and Tomonori Usuda. SPIE, 2020. http://dx.doi.org/10.1117/12.2561699.

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Salehi, Sayed Ahmad, Marc D. Riedel, and Keshab K. Parhi. "Markov chain computations using molecular reactions." In 2015 IEEE International Conference on Digital Signal Processing (DSP). IEEE, 2015. http://dx.doi.org/10.1109/icdsp.2015.7251963.

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Reports on the topic "Signal processing chain"

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Perdigão, Rui A. P. Information physics and quantum space technologies for natural hazard sensing, modelling and prediction. Meteoceanics, 2021. http://dx.doi.org/10.46337/210930.

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Disruptive socio-natural transformations and climatic change, where system invariants and symmetries break down, defy the traditional complexity paradigms such as machine learning and artificial intelligence. In order to overcome this, we introduced non-ergodic Information Physics, bringing physical meaning to inferential metrics, and a coevolving flexibility to the metrics of information transfer, resulting in new methods for causal discovery and attribution. With this in hand, we develop novel dynamic models and analysis algorithms natively built for quantum information technological platfor
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Kintz, Erika, Elaine Pegg, Wendy Perry, and Wioleta Trzaska. A Qualitative Assessment of the Risk of Acquiring Avian Influenza from Poultry and Game Bird Meat Poultry products. Food Standards Agency, 2023. http://dx.doi.org/10.46756/sci.fsa.vlf743.

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Avian influenza (AI) viruses cause infections primarily in bird species, although they are capable of spill-over infections into mammalian species, including humans. Many different strains of AI viruses are found in birds, but they can be divided into two groups based on their virulence in poultry: high pathogenicity (HPAI) and low pathogenicity (LPAI); both are capable of quickly spreading through a flock. HPAI infections often lead to severe clinical signs and high mortality while LPAI infections may not present with any clinical signs. Certain strains of AI have been associated with human c
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Journal articles Dissertations / Theses
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