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The Study of Adaptive Noise Cancellation Based on Neural Network

Author: FanRong
Tutor: ZhangLiYi
School: Taiyuan University of Technology
Course: Signal and Information Processing
Keywords: adaptive noise cancellation neural network BP algorithm fetal heart rate LMS algorithm speech enhancement
CLC: TN911.4
Type: Master's thesis
Year: 2006
Downloads: 346
Quote: 4
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Abstract


Noise cancellation is very important in signal processing, Adaptive noise cancellation technique can eliminate background noise in effect. It has become a major focus in the field of signal processing.The artificial neural network is a theoretical mathematical model for the cerebral neural networks; it is an information-processing system that is based on stimulating the structure and function of the cerebral neural networks; it can perform complicated operations and establish nonlinear relationships. The use of neural networks for designing a adaptive noise cancellation system is important theoretical significance and practical value.The primary subject of this paper is to:(1) The Basic principle of adaptive filter and adaptive noise cancellation system is systematically introduced. Otherwise, some relative parameters implying the performance of noise cancellation are analyzed under introducing the algorithm of LMS.(2) Characters of feed-forward neural networks of single-hide-layer and multi-hide-layers are mostly researched and analyzed under summarizing the design feature and leaning algorithm of neural network.(3) Adaptive noise cancellation system based on four layers feed-forward neural network is established and its iteration formulation is

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Communication theory > Noise and interference
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