Adaptive Filtering
Adaptive Filtering is a signal processing technique that belongs to the class of dynamic estimation methods, distinguished by its ability to iteratively adjust filter coefficients in real time to minimize the error between a desired signal and the filter output, thereby effectively suppressing radio frequency interference in acoustic and other signal domains.
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New Results in Linear Filtering and Prediction Theory
R. E. Kalman, R. S. Bucy · Journal of Basic Engineering · 1961 · 6.3K citations
Adaptive filtering, prediction and control
Pétros Ioannou · Automatica · 1985 · 4.5K citations
Adaptive noise cancelling: Principles and applications
Bernard Widrow, John R. Glover, J. McCool et al. · Proceedings of the IEEE · 1975 · 3.9K citations
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Stanford University
Stanford, United States
43 h-index
159 publications
45.3K citations

Southwest Jiaotong University
Chengdu, China
35 h-index
205 publications
8K citations

Imperial College London
London, United Kingdom
34 h-index
180 publications
9.3K citations
University of Utah
Salt Lake City, United States
31 h-index
76 publications
6.4K citations
University of California, Los Angeles
Los Angeles, United States
29 h-index
104 publications
6.1K citations
Nanyang Technological University
Singapore, Singapore
29 h-index
124 publications
7.2K citations
University of California, Irvine
Irvine, United States
28 h-index
55 publications
2.7K citations

Xi'an Jiaotong University
Xi'an, China
27 h-index
120 publications
6.7K citations
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