Download the Free Fishpond App!
Download on the App Store

Android App on Google play
Advanced Concepts in Adaptive Signal Processing (The Springer International Series in Engineering and Computer Science)

Already own it?

Sell Yours
Home » Books » Nonfiction » Technology » Electronics » General

Advanced Concepts in Adaptive Signal Processing

The Springer International Series in Engineering and Computer Science

By W.Kenneth Jenkins, Andrew W. Hull, Jeffrey C. Strait, Bernard A. Schnaufer

Elsewhere $472 $259   Save $213.00 (45%)
or 4 easy payments of $64.75 with What's this?
Free shipping Australia wide
Ships from local warehouse
Order Now for Christmas with e-Gift
Rating:
 
Register or sign-in to rate and get recommendations.
Format: Hardback, 324 pages
Other Information: index
Published In: Netherlands, 01 June 1996
Aimed at both practitioners and advanced graduates, this work integrates the major results of four recent PhD dissertations on adaptive signal processing. It contains illustrative computer-generated examples, many of which were designed to investigate unknown phenomena, rather than to demonstrate already known principles.

Table of Contents

Preface. 1: Introduction and Background. 1.1. Common Adaptive Concepts from Different Disciplines. 1.2. Generic Applications of Adaptive Methods. 1.3. Performance Measures in Adaptive Systems. 1.4. The Minimum Mean Squared Error Solution. 1.5. Adaptive Algorithms for FIR Systems. 1.6. Adaptive Algorithms for IIR Systems. 1.7. New Horizons in Adaptive Signal Processing. 1.8. Notation and Conventions. 2: Advanced Algorithms for 1-D Adaptive Filtering. 2.2. Data- Reusing LMS Algorithms. 2.3. Orthogonalization by PR Modulation. 2.3. The Gauss-Newton Adaptive Filtering algorithm. 2.4. Block Adaptive IIR Filters Using the PCG Method. 3: Structures and Algorithms for Two-Dimensional Adaptive Signal Processing. 3.1. Applications of Two-Dimensional Adaptive Filtering. 3.2. Two- Dimensional FIR Adaptive Filtering. 3.3. Two-Dimensional IIR Adaptive Filters. 3.4. Two-Dimensional IIR Adaptive Filtering Experiments. 3.5. Uniqueness Characteristics of the 2-D IIR MSE Minimization. 4: Adaptive Fault Tolerance. 4.1. Application of AFT to FIR Adaptive Filters. 4.2. Adaptive Filter Structures. 4.3. A Simple Fault Tolerant FIR Adaptive Filter. 4.4. The Transform Domain FTAF. 4.5. The DFT-Based TDFTAF with the Conjugate Gradient. 4.6. Robust and Practical TDFTAFs. 4.7. Full Fault Tolerance Transforms. 4.8. Discussion. 5: Adaptive Polynomial Filters. 5.1. The Volterra Series. 5.2. Gradient Based Adaptive Volterra Filters. 5.3. RLSSecond-Order Volterra Adaptive Filter. 5.4. LS Lattice Second-Order Volterra Adaptive Filter. 5.5. QR-Based LS Lattice Second Order Volterra Filter. 5.6. The Adaptive Volterra Filter for Gaussian Signals. 5.7. Other Polynomial-Based Nonlinear Adaptive Filters. 5.8. Discussion. Appendix. Subject Index.

Promotional Information

Springer Book Archives

EAN: 9780792397403
ISBN: 0792397401
Publisher: Kluwer Academic Publishers
Dimensions: 15.6 x 23.39 x 1.88 centimetres (0.74 kg)
Age Range: 15+ years
Tell a friend

Their Email:

Sell Yours

Already own this item?
Sell Yours and earn some cash. It's fast and free to list! (Learn More.)

Review this Product

BAD GOOD
 

Related Searches

 

Webmasters, Bloggers & Website Owners

You can earn a 5% commission by selling Advanced Concepts in Adaptive Signal Processing (The Springer International Series in Engineering and Computer Science) on your website. It's easy to get started - we will give you example code. After you're set-up, your website can earn you money while you work, play or even sleep!

 

Authors/Publishers

Are you the Author/Publisher? Improve sales by submitting additional information on this title.