Theory and design of adaptive filters
Author(s)
Bibliographic Information
Theory and design of adaptive filters
(Topics in digital signal processing)(A Wiley-Interscience publication)
Wiley, c1987
Available at 25 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Bibliography: p. 331-338
Description and Table of Contents
Description
A comprehensive collection of adaptive filtering concepts, algorithm forms, behavioral insights, and application guidelines useful for the engineer interested in designing adaptive filters for various applications and for students needing a method pedagogy for initiation of basic research in adaptive theory. The analysis and design of three basic classes of adaptive filters are presented: adaptive-finite-impulse- response (FIR) filters; adaptive-infinite-impulse-response (IRR) filters; and Adaptive property restoring filters. For the widely used FIR filters, the book provides useful analytical tools and guidelines.For the more recently developed filters, it focuses on emerging theoretical foundations and suggested applications. The material is supplemented with listings of FORTRAN codes for basic algorithms and a real-time solution to one adaptive FIR filter problem using a Texas Instruments signal processing chip.
Table of Contents
- THE NEED FOR ADAPTIVE FILTERING: Removal of Power Line Hum From Medical Instruments
- Adaptive Differential Pulse Code Modulation
- Equalization of Troposcatter Communication Signals
- Generality and Commonality
- BASIC PRINCIPLES OF ADAPTIVE FILTERING: The FIR Linear Combiner
- Number Guessing Games
- Single-Integer Guessing Games
- Multiple- Integer Guessing Games
- Multiple Real Numbers Guessing Games
- Adaptive Filter Algorithm Interpretation
- AN ANALYTICAL FRAMEWORK FOR DEVELOPNG ADAPTIVE ALGORITHMS: Background and Direction
- The Least Squares Problem
- Basic Formulation
- Reduction to the Normal Equations
- Direct Solution to the Optimal Vector
- The Meaning of P and P Examples
- Matching a Pure Delay
- Matching a Rotated Phasor
- Two Solution Technique
- Direct Inversion
- Iterative Approximation
- Computational Comparisons
- Consolidation
- The Least Mean Square Problem
- Formulation
- A Brief Review of Stochastic Process
- Ensemble Averages
- An Example
- Stationarity
- The Concept of White Noise.
by "Nielsen BookData"