Wavelet analysis, an interesting area of mathematics, witnessed a tremendous growth during the past decade, the applications of which include image processing, signal processing, data compression, numerical methods etc. This volume contains articles by eminent mathematicians on some of these aspects of wavelet theory. There are given certain applications where classical approach was found to be inadequate. A systematic mathematical study of approximation properties of neural networks which remained absent from the literature for a long time has also been presented. This book will be useful to postgraduates and researchers working or intend to work in areas of Wavelet theory.