Computational methods of signal recovery and recognition

Abstract

Part 1 The vector space approach: introduction to the vector space approach of signal processing discrete linear systems and signals - a vector space approach. Part 2 Signal recovery: image recovery - a vector space approach image recovery using row action projection methods the restoration of 3-D surfaces from 2-D images. Part 3 Adaptive signal recovery: a vector space approach to adaptive filtering adaptive image recovery adaptive time-varying spectral estimation communication channel equalization for digital data adaptive beamforming. Part 4 Signal recognition: neural networks neural tree networks the recognition of multicomponent signals.