1st Edition
Signals and Images Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing
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.
THEORY AND METHODS
Rosângela Fernandes Coelho and Vítor 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
Rosângela Fernandes Coelho and Vítor 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
João 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
João 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
Biography
Rosângela Fernandes Coelho, Vitor Heloiz Nascimento, Ricardo Lopes de Queiroz, João Marcos Travassos Romano, Charles Casimiro Cavalcante
"In today's society, signal processing serves as the core component for many ubiquitous technologies essential to our everyday lives, including smartphones, digital cameras, wearable devices, IMAX 3D movies, and HD TVs. 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 understand and develop the next generation of crucial emerging signal processing technologies."
—Marek Trawicki, Marquette University, Milwaukee, Wisconsin, USA"… covers some of the most significant recent advances in signal processing, including methods and applications. Chapters are written in a tutorial style and are ideal both for researchers of the field or close fields who want to get a deeper insight into the covered materials and for early-stage researchers who need to obtain a global overview of signal processing problems to define their own interests."
—Jerónimo Arenas-García, Universidad Carlos III de Madrid, Spain"… aids the reader in getting acquainted with many subjects of high interest in a fast and convenient manner. Written by experts in the covered fields, the book is a very valuable addition to the literature."
—Paulo S. R. Diniz, Federal University of Rio de Janeiro, Brazil