In recent years, rapid advances in computer hardware technology, including the development of specialized digital signal processors, have facilitated the development of algorithms whose applications would have been unthinkable only a short time ago. These algorithms allow for real-time application, make use of prior knowledge, can adapt in response to a changing environment, and are designed to achieve near-optimum performance under a broad range of operating conditions. This book examines the application of such algorithms to audio, video, and telecommunications.
The book is divided into four parts: methods, applications to audio, video, and telecommunications. Topics covered include wavelet transforms, adaptive filter design, neural networks, order statistic filters and projection methods.
Each chapter has been written by a leading expert in the field. Signal Processing Methods for Audio, Images and Telecommunications will be of great interest to students, researchers, and engineers alike, in all areas of signal and image processing.

• Wavelet transforms
• Adaptive filter design
• Neural networks
• Order statistic filters
• Projections methods