Langbeschreibung
This book cohesively combines contributions from field experts to deliver a comprehensive account of the latest developments in signal processing. It not only shows how signal processing theory is applied, 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. The text serves as a guide to the next generation of signal processing solutions for speech and video coding, smartphones, and beyond.
Inhaltsverzeichnis
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.