Wavelet Transforms: Introduction to Theory & Applications (Includes Disk)

Rao, Raghuveer M.; Bopardikar, Ajit S.

ISBN 10: 0201634635 / ISBN 13: 9780201634631

Verlag: Addison-Wesley, Reading, MA, 1998

Beschreibung

Hardcover, [xiii], 310 pages. Very Good condition. Size 9.5"x7.5". Includes 3 1/2 inch disk (ISBN# 0201433222). This book "Identifies problems for which wavelet transform techniques are well-suited. Shows how to implement wavelet transforms efficiently, & explains how to choose or design appropriate wavelets for a given application." Book has moderate exterior shelfwear. Previous owner's name on front pastedown, text else Near Fine, clean and unmarked. Disk is unopened. Bestandsnummer des Verkäufers 008965

Bibliografische Details

Titel: Wavelet Transforms: Introduction to Theory &...

Verlag: Addison-Wesley, Reading, MA

Erscheinungsdatum: 1998

Einband: Hardcover

Zustand: Very Good

Über diesen Titel

Inhaltsangabe:

• Written by researchers Raghuveer M. Rao and Ajit S. Bopardikar, Wavelet Transforms provides engineers, scientists, and students with a practical understanding of wavelet transforms and their properties. The authors introduce the underlying theory of the transform by presenting a wide range of applications, such as signal processing, image processing, and communications.
• This book identifies problems for which wavelet transform techniques are well-suited, shows how to implement wavelet transforms efficiently, and explains how to choose or design appropriate wavelets for a given application. In Chapter 1, basic linear filtering principles are utilized to introduce the reader to continuous wavelet transform. In Chapter 2, the basics of discrete wavelet transforms and multiresolution analysis are presented. Multiresolution analysis is then further explored in Chapter 3. Chapter 4 contains alternative wavelet representations, such as biorthogonal bases, wavelet packets, and multiresolution analysis of images. Chapter 5 provides a detailed treatment of the use of wavelet transform techniques in signal and image compression. In Chapter 6, applications to areas such as denoising, object isolation, and detection are presented. Chapter 7 addresses several more advanced topics, including: choice or design of wavelets for a given application, projection relations for the continuous wavelet transform, biorthogonal bandlimited wavelets, matched wavelet construction, self-similar signals, and linear scale-invariant systems. The supporting disk contains MATLAB routines that enable the reader to experiment with various algorithms and techniques presented in the book.
• Practical in their approach, Rao and Bopardikar present the material in a visual and comprehensive manner, using geometric analogies and filtering concepts. The book is written in a language familiar to readers with a basic undergraduate engineering degree.

Über die Autorin bzw. den Autor:

Raghuveer M. Rao is a Professor of Electrical Engineering and a member of the graduate faculty of the Center for Imaging Science at the Rochester Institute of Technology. He is an active researcher in the areas of signal/image processing and digital communications. Ajit S. Bopardikar obtained his BE degree from the University of Bombay and his MSc(Engg) degree in Electrical Communication Engineering from the Indian Institute of Science. He is a doctoral candidate at the Center for Imaging Science at the Rochester Institute of Technology, and has been an active researcher in the areas of wavelet transforms and filter banks.

0201634635AB04062001