Partial update adaptive signal processing algorithms not only permit significant complexity reduction in adaptive filter implementations, but also can improve the adaptive filter performance in telecommunications and image and video processing applications. This book gives state-of-art methods for the design and development of partial update adaptive signal processing algorithms for use in systems development.
The book gives a comprehensive coverage of key partial updating schemes, giving detailed analysis and applications to noise cancellation, channel equalization, multiuser detection and beamforming. A detailed analysis of convergence and stability issues for partial update algorithms is also given.
* Advanced analysis and design tools
* Algorithm summaries in tabular format
* Case studies illustrate the application of partial update adaptive signal processing
* MATLAB code listings on an accompanying website
The book gives a comprehensive coverage of key partial updating schemes, giving detailed analysis and applications to noise cancellation, channel equalization, multiuser detection and beamforming. A detailed analysis of convergence and stability issues for partial update algorithms is also given.
* Advanced analysis and design tools
* Algorithm summaries in tabular format
* Case studies illustrate the application of partial update adaptive signal processing
* MATLAB code listings on an accompanying website
