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Cited by 469

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Neural nets for adaptive filtering and adaptive pattern recognition

Widrow, B., Winter, R.·1988·Computer

Abstract

The adaptive linear combiner (ALC) is described, and practical applications of the ALC in signal processing and pattern recognition are presented. Six signal processing examples are given, which are system modeling, statistical prediction, noise canceling, echo canceling, universe modeling, and channel equalization. Adaptive pattern recognition using neural nets is then discussed. The concept involves the use of an invariance net followed by a trainable classifier. It makes use of a multilayer adaptation algorithm that descrambles output and reproduces original patterns.>

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Metadata

Authors
Widrow, B., & Winter, R.
Venue
Computer
Published
1988-03
Volume
21
Issue
3
Pages
25-39
ISSN
0018-9162 (ISSN-L)
OpenAlex
W2101964053
Cited by
469
References
7
FWCI
33.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Neural nets for adaptive filtering and adaptive pattern recognition. https://app.cochat.ai/papers/10.1109/2.29
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Widrow, B., & Winter, R. (1988). Neural nets for adaptive filtering and adaptive pattern recognition. Computer. https://doi.org/10.1109/2.29

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