Adaptive stack filtering by LMS and perceptron learning

Nirwan Ansari, Yuchou Huang, Jean Hsang Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Stack filters are a class of sliding-window nonlinear digital filters that possess the weak superposition property (threshold decomposition) and the ordering property known as the stacking property. They have been demonstrated to be robust in suppressing noise. Two methods are introduced to adaptively configure a stack filter. One is by employing the least mean square (LMS) algorithm and the other is based on perceptron learning. Experimental results are presented to demonstrate the effectiveness of the methods for noise suppression.

Original languageEnglish (US)
Title of host publicationICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages57-60
Number of pages4
Volume4
ISBN (Electronic)0780305329
DOIs
StatePublished - Jan 1 1992
Event1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 - San Francisco, United States
Duration: Mar 23 1992Mar 26 1992

Other

Other1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
CountryUnited States
CitySan Francisco
Period3/23/923/26/92

Fingerprint

Digital filters
Neural networks
Decomposition

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Ansari, N., Huang, Y., & Lin, J. H. (1992). Adaptive stack filtering by LMS and perceptron learning. In ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing (Vol. 4, pp. 57-60). [226412] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.1992.226412
Ansari, Nirwan ; Huang, Yuchou ; Lin, Jean Hsang. / Adaptive stack filtering by LMS and perceptron learning. ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing. Vol. 4 Institute of Electrical and Electronics Engineers Inc., 1992. pp. 57-60
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Ansari, N, Huang, Y & Lin, JH 1992, Adaptive stack filtering by LMS and perceptron learning. in ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing. vol. 4, 226412, Institute of Electrical and Electronics Engineers Inc., pp. 57-60, 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992, San Francisco, United States, 3/23/92. https://doi.org/10.1109/ICASSP.1992.226412

Adaptive stack filtering by LMS and perceptron learning. / Ansari, Nirwan; Huang, Yuchou; Lin, Jean Hsang.

ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing. Vol. 4 Institute of Electrical and Electronics Engineers Inc., 1992. p. 57-60 226412.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Ansari N, Huang Y, Lin JH. Adaptive stack filtering by LMS and perceptron learning. In ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing. Vol. 4. Institute of Electrical and Electronics Engineers Inc. 1992. p. 57-60. 226412 https://doi.org/10.1109/ICASSP.1992.226412