Computational Methods of Signal Recovery and Recognition

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.