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Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing [Minkštas viršelis]

5.00/5 (1 ratings by Goodreads)
Edited by (Federal University of Cearį, Fortaleza, Brazil), Edited by (University of Sćo Paulo, Brazil), Edited by (University of Brasķlia, Brazil), Edited by (University of Campinas, Sćo Paulo, Brazil), Edited by (Military Institute of Engineering, Rio de Janeiro, Brazil)
  • Formatas: Paperback / softback, 628 pages, aukštis x plotis: 234x156 mm, weight: 1160 g
  • Išleidimo metai: 26-Jul-2017
  • Leidėjas: CRC Press
  • ISBN-10: 1138893013
  • ISBN-13: 9781138893016
Kitos knygos pagal šią temą:
Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and ProcessingDidesnis paveikslėlis
  • Formatas: Paperback / softback, 628 pages, aukštis x plotis: 234x156 mm, weight: 1160 g
  • Išleidimo metai: 26-Jul-2017
  • Leidėjas: CRC Press
  • ISBN-10: 1138893013
  • ISBN-13: 9781138893016
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9781138893016.html
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.

Recenzijos

"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-Garcķa, 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

Blind Source Separation: Principles of Independent and Sparse Component Analysis. Kernel-Based Nonlinear Signal Processing. Arithmetic Transforms: Theory, Advances, and Challenges. Distributed Particle Filtering in Cooperative Networks. Empirical Mode Decomposition Theory Applied to Speech Enhancement. Acoustic Imaging Using the Kronecker Array Transform. Automatic Evaluation of Acoustically Degraded Full-Band Speech. Models for Speech Processing. Energy-Aware Video Compression. Rotation and Scale Invariant Template Matching. Three-Dimensional Television (3DTV). Overview of Tensor Decompositions with Applications to Communications. Signal Detection and Parameter Estimation in Massive MIMO Systems. Advances on Adaptive Sparse-Interpolated Filtering. Cognitive Power Line Communication. Information Geometry: An Introduction to New Models for Signal Processing. Bio-Inspired and Information-Theoretic Signal Processing. High-Resolution Techniques for Seismic Signal Prospecting. Synthetic Aperture Imaging for Ultrasonic Non-Destructive Testing.

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