Can anybody suggest good book on

Adaptive signal processing

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- 19th May 2008, 11:17ztanishadaptive signal processing rapidshare
Can anybody suggest good book on

Adaptive signal processing - 19th May 2008, 15:39fontpadaptive signal processing
1) 'Adaptive Filter Theory' by Simon Haykin

http://www.edaboard.com/viewtopic.ph...ghlight=haykin

2) Adaptive Signal Processing, Bernard Widrow Samuel Stearns

http://www.edaboard.com/viewtopic.ph...ghlight=widrow

3) Fundamentals of adaptive Filterinh, Ali H. Sayed; Wiley. - 27th May 2008, 17:44Tamascoadaptive signal processing widrow solution manual
Also some good books here:

**Adaptive and Iterative Signal Processing in Communications**

*Book Description:*

Adaptive signal processing (ASP) and iterative signal processing (ISP) are important techniques in improving receiver performance in communication systems. Using examples from practical transceiver designs, this book describes the fundamental theory and practical aspects of both methods, providing a link between the two where possible. The first two parts of the book deal with ASP and ISP respectively, each in the context of receiver design over intersymbol interference (ISI) channels. In the third part, the applications of ASP and ISP to receiver design in other interference-limited channels, including CDMA and MIMO, are considered; the author attempts to illustrate how the two techniques can be used to solve problems in channels that have inherent uncertainty. Containing illustrations and worked examples, this book is suitable for graduate students and researchers in electrical engineering, as well as practitioners in the telecommunications industry. Further resources for this title are available online at

Model-Based Signal Processing (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

Book Description:

A unique treatment of signal processing using a model-based perspective

Signal processing is primarily aimed at extracting useful information, while rejecting the extraneous from noisy data. If signal levels are high, then basic techniques can be applied. However, low signal levels require using the underlying physics to correct the problem causing these low levels and extracting the desired information. Model-based signal processing incorporates the physical phenomena, measurements, and noise in the form of mathematical models to solve this problem. Not only does the approach enable signal processors to work directly in terms of the problem's physics, instrumentation, and uncertainties, but it provides far superior performance over the standard techniques. Model-based signal processing is both a modeler's as well as a signal processor's tool.

Model-Based Signal Processing develops the model-based approach in a unified manner and follows it through the text in the algorithms, examples, applications, and case studies. The approach, coupled with the hierarchy of physics-based models that the author develops, including linear as well as nonlinear representations, makes it a unique contribution to the field of signal processing.

The text includes parametric (e.g., autoregressive or all-pole), sinusoidal, wave-based, and state-space models as some of the model sets with its focus on how they may be used to solve signal processing problems. Special features are provided that assist readers in understanding the material and learning how to apply their new knowledge to solving real-life problems.

* Unified treatment of well-known signal processing models including physics-based model sets

* Simple applications demonstrate how the model-based approach works, while detailed case studies demonstrate problem solutions in their entirety from concept to model development, through simulation, application to real data, and detailed performance analysis

* Summaries provided with each chapter ensure that readers understand the key points needed to move forward in the text as well as MATLAB(r) Notes that describe the key commands and toolboxes readily available to perform the algorithms discussed

* References lead to more in-depth coverage of specialized topics

* Problem sets test readers' knowledge and help them put their new skills into practice

The author demonstrates how the basic idea of model-based signal processing is a highly effective and natural way to solve both basic as well as complex processing problems. Designed as a graduate-level text, this book is also essential reading for practicing signal-processing professionals and scientists, who will find the variety of case studies to be invaluable.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department - 9th November 2008, 10:04farhad_khadaptive sayed rapidshare
I am working on Smart Antenna in CDMA, I need some pepers about thiscategory and CDMA environment smart antennas. one of them

S. Choi and D. Shim, “A novel adaptation beamforming algorithm for a

smart antenna system in a CDMA mobile communication environment,”

IEEE Trans. Veh. Technol., vol. 49, pp. 1793-1806, Sept. 2000.

Can you send it to me? - 27th September 2011, 11:19fomahRe: adaptive signal processing

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