Contact
How to shop
Delivery
Shopping guide
Estimation-Based Adaptive Filtering and Control
A systematic approach to adaptive filter design
English
147 b
Up to 30 days for returns
Customers also purchased
/
Paperback
16.17
€
/
Paperback
10.30
€
/
Paperback
22.44
€
Adaptive Systems have been used in a wide range of applications for almost four decades. Examples include adaptive equalization, adaptive noise-cancellation, and adaptive control. The design of adaptive filters/controllers is a difficult nonlinear problem for which good systematic synthesis procedures have proven a difficult challenge. Most commonly-used design methods (e.g. FxLMS) are adhoc in nature and do not provide guaranteed performance level. Systematic analysis of the commonly used adaptive algorithms is also difficult. This work presents an estimation-based synthesis and analysis procedure for adaptive filter design. This work formulates the adaptive filtering/control problem as an H estimation problem, and updates the adaptive weight vector according to the state estimates provided by an H estimator. The estimator is proved to be always feasible. Furthermore, the special structure of the problem is used to reduce the usual Riccati recursion for state estimate update to a simpler Lyapunov recursion. The resulting adaptive algorithm has provable performance with simple update rule, and readily extends to multi-channel systems and problems with feedback contamination.
About the book
English
Give this book today
It's easy
1 Add to cart and choose Deliver as present at the checkout 2 We'll send you a voucher 3 The book will arrive at the recipient's addressYou might also be interested in
/
Paperback
12.12
€
/
Paperback
24.46
€
/
Hardback
77.85
€
Hi! I'm Libroamiko, your book advisor.
How can I help you?