Adaptive systems for signal processing

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Authors
  1. Haykin, S.
Corporate Authors
Defence R&D Canada - Toronto, Toronto ONT (CAN);McMaster Univ, Hamilton ONT (CAN)
Abstract
The present report discusses in some detail the recent developments in adaptive signal processing and their advantages for real-time system applications. It reviews the basic issues involved in the study of adaptive systems for signal processing. The virtues of this approach to statistical signal processing may be summarized as follows: * The use of an adaptive filtering algorithm, which enables the system to adjust its free parameters (in a supervised or unsupervised manner) in accordance with the underlying statistics of the environment in which the system operates. Hence, the need for determining the statistical characteristics of the environment is avoided. * Tracking capability, which permits the system to follow statistical variations (i.e. non-stationarity) of the environment. * The availability of many different apative filtering algorithms, both linear and non-linear, which can be used to deal with a wide variety of signal-processing applications in radar, sonar and biomedical imaging. * Digital implementation of the adaptive filtering algorithms, which can be carried out in hardware or software form. In many cases these advanced algorithms trade robustness for improved performance. Furthermore, the improvements achieved are generally not uniform across all signal and noise environments of operational scenarios. TRUNCATED
Keywords
Linear filters;Tracking;Adaptive signal processing;Adaptive processing
Report Number
DRDC-TORONTO-CR-2002-045 — Contractor Report
Date of publication
01 Mar 2002
Number of Pages
78
DSTKIM No
CA020836
CANDIS No
517567
Format(s):
Hardcopy;Document Image stored on Optical Disk

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