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

Rosângela Fernandes Coelho, Vitor Heloiz Nascimento, Ricardo Lopes de Queiroz, João Marcos Travassos Romano, Charles Casimiro Cavalcante

November 4, 2015 by CRC Press
Reference - 598 Pages - 32 Color & 168 B/W Illustrations
ISBN 9781498722360 - CAT# K25626

USD$169.95

Add to Wish List
FREE Standard Shipping!

Features

  • Introduces the blind source separation problem and provides solutions based on independent and sparse component analyses
  • Explains kernel-based nonlinear signal processing and its application to non-parametric modeling of nonlinear functions
  • Employs a discrete-time formalism to derive a unifying mathematical treatment for arithmetic transform methods for trigonometric discrete transforms
  • Presents new distributed particle filtering algorithms for cooperative estimation in networks of collaborative agents
  • Discusses empirical mode decomposition theory focused on speech enhancement solutions under non-stationary acoustic noise, in time domain
  • Explores the problem of acoustic imaging methods for reducing the number of computations in the estimation of acoustic images
  • Addresses full- and no-reference automatic assessments of the quality of acoustically degraded full-band speech in modern communication systems
  • Covers temporal, spectral, and time-frequency modeling, information-geometry modeling, information-theoretical learning, and biological-inspired modeling
  • Describes signal processing methods applied to seismic signals as well as methods based on synthetic aperture imaging

Summary

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.

Share this Title