Energy Correlation Permutation Algorithm of Frequency-Domain Blind Source Separation Based on Frequency Bins Correction

Zhao, Y. W.; Fu, Wei; Zhou, Chunhua; Liu, Yongyuan

doi:10.1007/s11277-021-08533-w

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2022

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“…, i.e., the set of source signals can be obtained by multiplying the observed hybrid signal set by matrix W [9].…”

Section: Mathematical Modelmentioning

confidence: 99%

Research on Music Signal Processing Based on a Blind Source Separation Algorithm

Zhao¹,

Tuo²,

Guo³

et al. 2022

AETiC

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The isolation of mixed music signals is beneficial to the extraction and identification of music signal features and to enhance music signal quality. This paper briefly introduced the mathematical model for separating blind source from mixed music signals and the traditional Independent Component Analysis (ICA) algorithm. The separation algorithm was optimized by the complex neural network. The traditional and optimized ICA algorithms were simulated in MATLAB software. It was found that the time-domain waveform of the signal isolated by the improved ICA-based separation algorithm was closer to the source signal. The similarity coefficient matrix, signal-to-interference ratio, performance index, and iteration time of the improved ICA-based algorithm was 62.3, 0.0011, and 0.87 s, respectively, which were all superior to the traditional ICA algorithm. The novelty of this paper is setting the initial iterative matrix of the ICA algorithm with the complex neural network.

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“…, i.e., the set of source signals can be obtained by multiplying the observed hybrid signal set by matrix W [9].…”

Section: Mathematical Modelmentioning

confidence: 99%

Research on Music Signal Processing Based on a Blind Source Separation Algorithm

Zhao¹,

Tuo²,

Guo³

et al. 2022

AETiC

View full text Add to dashboard Cite

show abstract

A blind source separation sorting algorithm for sonar echo signal based on frequency-point amplitude correlation

Lin¹,

Wang²,

Chen³

2022

2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)

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Energy Correlation Permutation Algorithm of Frequency-Domain Blind Source Separation Based on Frequency Bins Correction

Cited by 2 publications

References 24 publications

Research on Music Signal Processing Based on a Blind Source Separation Algorithm

Research on Music Signal Processing Based on a Blind Source Separation Algorithm

A blind source separation sorting algorithm for sonar echo signal based on frequency-point amplitude correlation

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