Handbook of Statistics 10: Signal Processing and its Applications

Description

This volume of the "Handbook of Statistics" emphasizes both theory and applications. The collection of chapters deals with the topics of fast computations and transforms in signal processing, sampling theorems, parameter estimation and signal modelling, image and multidimensional signal processing, array processing, direction-of-arrival estimation, beamforming, adaptive algorithms, multiscale signal processing and wavelet transforms, VLSI implementations in hardware, image gathering and video coding, spectrum estimation, neural net sensor fusion, hidden Markov models with applications in speech recognition, design of special types of digital filter structures, and innovative methods for performance evaluation of such structures as well as more general systems which are encountered in signal processing and related control problems. The topics and their exposition should be of value to students, practitioners and researchers in universities and industries because of their solid theoretical content. The subjects have proven, as well as potential, scopes for applications in consumer products and also in strategic planning for surveillance and defence.