Signal processing comprise and important area of application for a wide variety of mathematical methods--from adaptive filtering and spectral analysis to finite fields and statistical techniques. This book is the third in a series that features papers presented at the IMA Conference on Mathematics in Signal Processing. As in past volumes, this book reports progress made in established areas of research as well as in emerging areas of interest such wavelet analysis, fractal approximation, and nonlinear filtering. Particular effort was made to include papers which consider the development of mathematical techniques for various signal processing applications ranging from radar and communication systems to astronomy, seismology, and medical imagery. Researchers and students in signal processing algorithms and architectures will find this book timely and informative.