Signal Processing Using Neural Network

Xu Jinwu; Liang Jing

doi:10.13374/j.issn1001-053x.1994.01.013

Volume 16 Issue 1

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Article Navigation > Chinese Journal of Engineering > 1994 > 16(1): 58-61

Xu Jinwu, Liang Jing. Signal Processing Using Neural Network[J]. Chinese Journal of Engineering, 1994, 16(1): 58-61. doi: 10.13374/j.issn1001-053x.1994.01.013

Citation:

Xu Jinwu, Liang Jing. Signal Processing Using Neural Network[J]. Chinese Journal of Engineering, 1994, 16(1): 58-61. doi: 10.13374/j.issn1001-053x.1994.01.013

Xu Jinwu, Liang Jing. Signal Processing Using Neural Network[J]. Chinese Journal of Engineering, 1994, 16(1): 58-61. doi: 10.13374/j.issn1001-053x.1994.01.013

Citation:

Xu Jinwu, Liang Jing. Signal Processing Using Neural Network[J]. Chinese Journal of Engineering, 1994, 16(1): 58-61. doi: 10.13374/j.issn1001-053x.1994.01.013

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Signal Processing Using Neural Network

doi: 10.13374/j.issn1001-053x.1994.01.013

Department of Mechanical Engineering, USTB, Beijing 10083, PRC

Received Date: 1992-11-20
Available Online: 2021-10-29

Abstract

Abstract

In this paper,BP network is used to remove random noise in signal and to recognize ideal patterns.As an example,three signals,sine-wave,rectangie-wave and triguetrous wave are discussed.In the case of 50% noise,BP network can effectively remove noise in the signals and exactly fit them into their ideal patterns.
- neural networks,
- signal processing/BP network,
- random noise,
- pattern recognition