Polar Coordinate Based Nonlinear Function for Frequency-Domain Blind Source Separation
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概要
- 論文の詳細を見る
This paper discusses a nonlinear function for independent component analysis to process complex-valued signals in frequency-domain blind source separation. Conventionally, nonlinear functions based on the Cartesian coordinates are widely used. However, such functions have a convergence problem. In this paper, we propose a more appropriate nonlinear function that is based on the polar coordinates of a complex number. In addition, we show that the difference between the two types of functions arises from the assumed densities of independent components. Our discussion is supported by several experimental results for separating speech signals, which show that the polar type nonlinear functions behave better than the Cartesian type.
- 一般社団法人電子情報通信学会の論文
- 2003-03-01
著者
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Sawada Hiroshi
Ntt Communication Science Laboratories Ntt Corporation
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Makino Shoji
NTT Communication Science Laboratories
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Makino Shoji
Ntt Communication Science Laboratories Ntt Corporation
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Makino S
Ntt Communication Sci. Lab. Kyoto Jpn
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Mukai Ryo
Ntt Communication Science Laboratories Ntt Corporation
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ARAKI Shoko
NTT Communication Science Laboratories, NTT Corporation
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Araki Shoko
Ntt Communication Science Laboratories Ntt Corporation
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SAWADA Hiroshi
he NTT Communication Science Laboratories,NTT Corporation
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MUKAI Ryo
he NTT Communication Science Laboratories,NTT Corporation
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ARAKI Shoko
he NTT Communication Science Laboratories,NTT Corporation
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- FOREWORD
- Subband-Based Blind Separation for Convolutive Mixtures of Speech(Engineering Acoustics)
- Estimating the number of sources using independent component analysis
- Blind Source Separation of Convolutive Mixtures of Speech in Frequency Domain(Multi-channel Acoustic Signal Processing)
- Blind Source Separation for Moving Speech Signals Using Blockwise ICA and Residual Crosstalk Subtraction(Speech/Acoustic Signal Processing)(Digital Signal Processing)
- Convolutive blind source separation for more than two sources in the frequency domain
- Evaluation of separation and dereverberation performance in frequency domain blind source separation
- Underdetermined Blind Separation of Convolutive Mixtures of Speech Using Time-Frequency Mask and Mixing Matrix Estimation(Blind Source Separation, Multi-channel Acoustic Signal Processing)
- Sparse source separation based on simultaneous clustering of source locational and spectral features
- Stereophonic acoustic echo cancellation : An overview and recent solutions
- Polar Coordinate Based Nonlinear Function for Frequency-Domain Blind Source Separation