Partial-Update Adaptive Signal Processing: Design Analysis and Implementation
Partial-update adaptive signal processing algorithms not only permit significant complexity reduction in adaptive filter implementations, but can also improve adaptive filter performance in telecommunications applications. This book gives state-of-the-art methods for the design and development of partial-update adaptive signal processing algorithms for use in systems development.
Partial-Update Adaptive Signal Processing provides a comprehensive coverage of key partial updating schemes, giving detailed information on the theory and applications of acoustic and network echo cancellation, channel equalization and multiuser detection. It also examines convergence and stability issues for partial update algorithms, providing detailed complexity analysis and a unifying treatment of partial-update techniques.
• Advanced analysis and design tools
• Application examples illustrating the use of partial-update adaptive signal processing
• MATLAB codes for developed algorithms
This unique reference will be of interest to signal processing and communications engineers, researchers, R&D engineers and graduate students.
"This is a very systematic and methodical treatment of an adaptive signal processing topic, of particular significance in power limited applications such as in wireless communication systems and smart ad hoc sensor networks. I am very happy to have this book on my shelf, not to gather dust, but to be consulted and used in my own research and teaching activities" – Professor A. G. Constantinides, Imperial College, London
About the author:
Kutluyil Doganšay is an associate professor of Electrical Engineering at the University of South Australia. His research interests span statistical and adaptive signal processing and he serves as a consultant to defence and private industry. He was the Signal Processing and Communications Program Chair of IDC Conference 2007, and is currently chair of the IEEE South Australia Communications and Signal Processing Chapter.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Chapter 3 Convergence and stability analysis
Chapter 4 Partialupdate adaptive filters
Chapter 5 Selected applications
Other editions - View all
acoustic echo cancellation adaptation process adaptive filter coefficients adaptive signal processing additions to compute asymptotic approximation autocorrelation matrix Averaged system coefficient selection matrix constrained optimization problem convergence performance convergence rate correlation matrix cost function cyclostationary cyclostationary input data-dependent diagonal echo cancellation echo path EMSE error Euclidean norm full-update LMS algorithm GSD-LMS algorithm heapsort impulse response input correlation matrix iteration learning curves linear congruential M-max LMS algorithm M-max updates matrix inversion lemma MSE and MSD multiplications to compute Newton’s method normalization algorithm partial coefficient updates partial-update NLMS algorithm periodic partial updates periodic-partial-update LMS recursion regressor vector selective partial updates selective-partial-update NLMS algorithm sequential partial updates sequential-partial-update LMS algorithm set-membership partial-update NLMS simulated MSE Simulation Theory single-division power normalization solution steady-state MSE step-size parameter system identification Theoretical and simulated total computational complexity transform-domain LMS algorithm unitary transform unknown system update vector white Gaussian zero