Multistage blind source separations by wavelet analysis

Author:

Ashino Ryuichi1,Mandai Takeshi2,Morimoto Akira3

Affiliation:

1. Mathematical Sciences, Osaka Kyoiku University, Kashiwara, Osaka 582-8582, Japan

2. Department of Engineering Science, Osaka Electro-Communication University, Neyagawa, Osaka 572-8530, Japan

3. Information Science, Osaka Kyoiku University, Kashiwara, Osaka 582-8582, Japan

Abstract

The purpose of blind source separation is to separate the original sources from the sensor array, without knowing the transmission channel characteristics. Besides methods based on independent component analysis, several methods based on time-frequency analysis have been proposed. In this paper, a new method of multistage separation is proposed, which improves our formerly proposed methods using the time-scale information matrix based on the continuous multiwavelet transform.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Information Systems,Signal Processing

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Detection of Rotation Angles on Image Separation Problem;Trends in Mathematics;2019

2. Continuous Multiwavelet Transform for Blind Signal Separation;Trends in Mathematics;2017

3. EMD fractal feature extraction technique in fingerprint of medicinal herbs;International Journal of Wavelets, Multiresolution and Information Processing;2015-07

4. An Estimation Method of Shift Parameters in Image Separation Problem;Trends in Mathematics;2015

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