Publisher's Synopsis
Signal processing has become an essential part of contemporary scientific and technological activity. The concept of signal spreads over various fields and applications. Wavelet transform is one of the latest and powerful tools for signal analysis. These transforms are used in applications such as sparse representation of signal (signal compression), time-frequency analysis, denoising of signals, and in solving partial differential equations. This substantially revised and fully updated edition of the book introduces the student to wavelet transform, wavelet design methods and its applications. The major change in the Second Edition is the inclusion of chapters on Wavelet Packets, Fractional Spline Wavelets, M-band Wavelets, and Design based on Groebner Bases and Curvelets. The text makes the subject accessible to anyone with a modest background in basic linear algebra. Intended primarily as a textbook for the postgraduate students of computer science, electrical/electronics and communication engineering, this book would also be useful for the practising engineers and researchers.
