Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and...

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Rosangela Fernandes Coelho (Military Institute of Engineering, Rio de Janeiro, Brazil) Vitor Heloiz Nascimento (University of Sao Paulo, Brazil)

Signals and Images

Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing...

Rosangela Fernandes Coelho (Military Institute of Engineering, Rio de Janeiro, Brazil), Vitor Heloiz Nascimento (University of Sao Paulo, Brazil), Ricardo Lopes de Queiroz (University of Brasilia, Brazil) , Joao Marcos Travassos Romano (University of Campinas, Sao Paulo, Brazil)

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Productivity Press
26 October 2015

Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing cohesively combines contributions from field experts to deliver a comprehensive account of the latest developments in signal processing. These experts detail the results of their research related to audio and speech enhancement, acoustic image estimation, video compression, biometric recognition, hyperspectral image analysis, tensor decomposition with applications in communications, adaptive sparse-interpolated filtering, signal processing for power line communications, bio-inspired signal processing, seismic data processing, arithmetic transforms for spectrum computation, particle filtering in cooperative networks, three-dimensional television, and more.

This book not only shows how signal processing theory is applied in current and emerging technologies, but also demonstrates how to tackle key problems such as how to enhance speech in the time domain, improve audio quality, and meet the desired electrical consumption target for controlling carbon emissions.

Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing serves as a guide to the next generation of signal processing solutions for speech and video coding, hearing aid devices, big data processing, smartphones, smart digital communications, acoustic sensors, and beyond.

Edited by: Rosangela Fernandes Coelho (Military Institute of Engineering Rio de Janeiro Brazil), Vitor Heloiz Nascimento (University of Sao Paulo, Brazil), Ricardo Lopes de Queiroz (University of Brasilia, Brazil), Joao Marcos Travassos Romano (University of Campinas, Sao Paulo, Brazil), Charles Casimiro Cavalcante (Federal University of Ceara, Fortaleza, Brazil)
Imprint: Productivity Press
Country of Publication: United States
Dimensions: Height: 235mm, Width: 156mm, Spine: 38mm
Weight: 1.338kg
ISBN: 9781498722360
ISBN 10: 1498722369
Pages: 598
Publication Date: 26 October 2015
Audience: General/trade , College/higher education , ELT Advanced , Primary
Format: Hardback
Publisher's Status: Active

THEORY AND METHODS Rosangela Fernandes Coelho and Vitor Heloiz Nascimento Blind Source Separation: Principles of Independent and Sparse Component Analysis Introduction The Blind Source Separation Problem BSS Methods Based on Independent Component Analysis BSS Methods Based on Sparse Component Analysis Conclusions Kernel-Based Nonlinear Signal Processing Chapter Summary Introduction Reproducing Kernel Hilbert Spaces (RKHS) Nonlinear Regression in an RKHS Online Kernel-Based Function Approximation Online Nonlinear System Identification Bayesian Approaches to Kernel-Based Nonlinear Regression Conclusion Arithmetic Transforms: Theory, Advances, and Challenges Introduction Historical Context Mathematical Background Arithmetic Fourier Transform Arithmetic Hartley Transform Arithmetic Cosine Transform Arithmetic Transform Interpolation Discussion and Conclusion Appendix: Dirichlet inverse of {( 1)n} Distributed Particle Filtering in Cooperative Networks Introduction Cooperative Particle Filtering with Multiple Observers Distributed Particle Filters Cooperative Emitter Tracking using Passive Sensors Cooperative Equalization of Digital Communication Channels Conclusions Appendix I Appendix II ACOUSTIC SIGNAL PROCESSING Rosangela Fernandes Coelho and Vitor Heloiz Nascimento Empirical Mode Decomposition Theory Applied to Speech Enhancement Introduction Empirical Mode Decomposition Speech Enhancement EMD-Based Speech Enhancement Results Conclusion Acoustic Imaging Using the Kronecker Array Transform Introduction Signal Model Methods for Acoustic Imaging Kronecker Array Transform Computional Cost Examples Practical Considerations Conclusion Automatic Evaluation of Acoustically Degraded Full-Band Speech Introduction Highlighted Standards and References Models for Telepresence System Quality Evaluation Tools Degradation Type Classification Concluding Remarks Models for Speech Processing Introduction Time-Frequency Models Production Models Linear Prediction Spectral Representations and Models Stochastic Models Time-Varying Models Acknowledgment IMAGE PROCESSING Ricardo Lopes de Queiroz Energy-Aware Video Compression Introduction Background on H.264/AVC Implementation Our H.264/AVC Test Systems Power and Energy in Computing Systems Energy vs. Complexity Energy-Aware Optimization Results Conclusions Rotation and Scale Invariant Template Matching Introduction Conventional BC-Invariant Template Matching Brute Force RSTBC-Invariant Template Matching Ciratefi: RSTBC-Invariant Template Matching Forapro: RTBC-Invariant Template Matching with Robustness to Scaling Conclusions Three-Dimensional Television (3DTV) 3D Basics 3D Compression Conclusions SIGNAL PROCESSING IN COMMUNICATIONS Joao Marcos Travassos Romano and Charles Casimiro Cavalcante Overview of Tensor Decompositions with Applications to Communications Introduction Notations Tensor Models Application to MIMO Communication Systems Application to Cooperative Communications Application to Multidimensional Array Processing Summary Signal Detection and Parameter Estimation in Massive MIMO Systems Introduction Signal Models and Application Scenarios Detection Techniques Parameter Estimation Techniques Simulation Results Future Trends and Emerging Topics Concluding Remarks Advances on Adaptive Sparse-Interpolated Filtering Introduction From the FIR Filter to the Sparse-Interpolated FIR Filter Adaptive Sparse-Interpolated FIR Filters Adaptive Sparse-Interpolated Volterra Filters A Case Study of Network Echo Cancellation Concluding Remarks Cognitive Power Line Communication Introduction Cognitive PLC Spectrum Sensing Techniques Spectrum Sensing Techniques for CogPLC Future Trends Conclusions SELECTED TOPICS IN SIGNAL PROCESSING Joao Marcos Travassos Romano and Charles Casimiro Cavalcante Information Geometry: An Introduction to New Models for Signal Processing Introduction Statistical Manifolds Generalized Statistical Manifolds Geometry of (Generalized) Statistical Manifolds Summary and Research Directions Brief Introduction to Riemannian Geometry Bio-Inspired and Information-Theoretic Signal Processing Introduction Artificial Neural Networks Information Theoretic Learning Bio-Inspired Optimization Concluding Remarks High-Resolution Techniques for Seismic Signal Prospecting Introduction Summary High-Resolution Velocity Spectra Event Detection Schemes for Seismic Data Analysis 2D Deconvolution Conclusion Synthetic Aperture Imaging for Ultrasonic Non-Destructive Testing Beamforming in Ultrasonic Array Imaging Systems Instantaneous Phase Information to Improve Defect Detection Simplified Process for Synthetic Aperture Imaging Experimental Results Comments

Rosangela Fernandes Coelho holds a Ph.D degree from the Ecole Nationale Superieure des Telecommunications (ENST-Telecom ParisTech), and an M.Sc degree from the Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Brazil, both in electrical engineering. She joined the Military Institute of Engineering (IME) of Rio de Janeiro in 2002, and is currently an associate professor in the Electrical Engineering Department. Prof. Coelho founded and heads the Laboratory of Acoustic Signal Processing (LASP) at IME. In 2003, she received the University Research Program grant award from CISCO/USA. She served as an editorial board member of the IEEE Communications Surveys and Tutorials from 1999 to 2007. Since 2008, she has been responsible for the International Scientific Collaboration IME-ParisTech. Prof. Coelho holds a US patent of an automatic speaker recognition method based on a new speech feature and a stochastic model for speaker classification. Prof. Coelho was president-adjoint of the Brazilian Telecommunications Society, an IEEE Sister Society, from 2008 to 2010. She is also member of the IEEE Signal Processing Society (IEEE-SPS). Vitor Heloiz Nascimento holds a Ph.D from the University of California, Los Angeles, USA, and an M.Sc and B.Sc from the Escola Politecnica, University of Sao Paulo (USP), Brazil. From 1990 to 1994, he was a lecturer at USP. In 1999, he joined the faculty, and is now an associate professor. He also serves as area editor for the Journal of Communication and Information Systems. After receiving the 2002 IEEE Signal Processing Society Best Paper Award, Professor Nascimento served as an associate editor for the IEEE Signal Processing Letters from 2003 to 2005, for the IEEE Transactions on Signal Processing from 2005 to 2008, and for the EURASIP Journal on Advances in Signal Processing from 2006 to 2009. He was a member of the IEEE Signal Processing Society (IEEE-SPS) Signal Processing Theory and Methods Technical Committee from 2007 to 2012, chair of the Sao Paulo IEEE-SPS Chapter from 2010 to 2014, and a technical coordinator of the 2014 International Telecommunications Symposium, organized by the Brazilian Telecommunications Society. Ricardo Lopes de Queiroz holds a Ph.D from the University of Texas at Arlington, USA. He has been a professor titular in the Computer Science Department at the University of Brasilia, Brazil, since 2009. Prior to that, he was a professor in the Electrical Engineering Department at the same university; a member of the Research Staff at Xerox Corporation, Webster, New York, USA; and an adjunct faculty member at the Rochester Institute of Technology, Rochester, New York, USA. He is spending the year 2015 as a visiting professor at the University of Washington, Seattle, Washington, USA. Dr. de Queiroz is a senior member of IEEE and a member of the Brazilian Telecommunications Society. Widely published and highly cited, he has been an editor of numerous journals and publications, as well as an integral part of various technical and organizing committees. He also holds 46 patents. Joao Marcos Travassos Romano holds a Ph.D from the University of Paris-XI, France, and an M.Sc and B.Sc from the University of Campinas (UNICAMP), Brazil. In 1988, he joined the School of Electrical and Computer Engineering (FEEC) at UNICAMP, where he is now a professor and the head of the Signal Processing for Communications Laboratory. Professor Romano has served as an invited professor at the University Rene Descartes, Paris France; Conservatoire National des Arts et Metiers, Paris, France; and Ecole Normale Superieure, Cachan, France, as well as the vice-director of the School of FEEC at UNICAMP, the president of the Brazilian Communications Society (SBrT), and the editor-in-chief of the IEEE/SBrT Journal of Communications and Information Systems. He is a senior member of IEEE, an emeritus member of SBrT, and a recipient of the Zeferino Vaz Academic Achievements Prize (UNICAMP, 2008) and the 25 Years of the Brazilian Telecommunication Society Prize (SBrT, 2008) for research and teaching contributions in his field. Since April 2015, Professor Romano has been the dean of the School of Electrical and Computer Engineering at UNICAMP. Charles Casimiro Cavalcante holds a Ph.D from the University of Campinas, Brazil, and an M.Sc and B.Sc from the Federal University of Ceara (UFC), Fortaleza, Brazil. From March 2007 to November 2008, he was a visiting professor in the Teleinformatics Engineering Department of UFC. He has been an assistant professor in the same department since November 2008, and holds the statistical signal processing chair. In addition, he is a researcher in the Wireless Telecommunications Research Group (GTEL) at UFC, and a senior member of both IEEE and the Brazilian Telecommunications Society. From August 2014 to July 2015, he was also a visiting assistant professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County, USA. He was also vice-president of the Brazilian Telecommunications Society for two terms, and an integral part of various technical and organizing committees.

Reviews for Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing

... includes several topics of current interest in the areas theory and methods in signal processing along with important subjects related to Acoustics, Image and communications. The book also covers some selected topics related to machine learning, information geometry, seismic signal prospecting and ultrasonic imaging. The overall structure of the book aids the reader in getting acquainted many subjects high interest in a fast and convenient manner. Written by experts in the covered fields the will be a very valuable addition to the literature. -Paulo S. R. Diniz, Federal University of Rio de Janeiro ... covers some of the most significant recent advances in signal processing, including both methods and applications. Chapters are written in a tutorial style, and are ideal both for researchers of the field or close fields that want to get a deeper insight into the covered materials, and also for early stage researchers that need to obtain a global overview of signal processing problems in order to define their own interests. -Jeronimo Arenas-Garcia, Universidad Carlos III de Madrid ... The authors present a wonderfully informative investigation into the theory and methods underlying such technologies, particularly in acoustic signal processing, image processing, signal processing in communications, and various other vital signal processing topics. Despite the rapidly changing nature of signal processing, the authors present the perfect, expert guide for undergraduate and graduates students, researchers, and practitioners to understanding and developing the next generation of crucial emerging signal processing technologies. -Marek Trawicki, Marquette University