Underdetermined blind speech source separation based on deep nearest neighbor clustering algorithm

Niu, Mengdie; Zhang, Ye

doi:10.1007/s11042-022-13009-5

Cited by 2 publications

(1 citation statement)

References 35 publications

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“…Similarly, the coefficients of the source signal in the equation correspond to the column vectors in the mixing matrix, exhibiting clear linear distribution properties. The initial vibration observation signal is not sparse in the time domain, and the FFT is employed to increase the signal's sparsity in the frequency domain 12 .…”

Section: Underdetermined Blind Source Separationmentioning

confidence: 99%

Detection of the shot blasting vibration source by the blind source separation

Han,

Dong,

Zhang

et al. 2023

Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023)

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During operation, the shot blasting machine will generate a great deal of vibration and noise, which has a negative effect on both the staff’s working environment and the shot blasting machine’s ability to function normally. Therefore, this paper first performs a time-frequency analysis of the vibration signal obtained from the shot blasting shell and makes a preliminary determination that the shot blasting shell will be affected by various vibration sources. Then, based on the blind source separation technology, the time domain signal collected from the vibration sensor is transformed into a sparse signal by the Fast Fourier Transform (FFT). The analysis reveals that the motor vibration transmission and rotor imbalance are the shot blasting machine’s primary sources of vibration, with the impeller being the primary cause of rotor imbalance. Thus, noise reduction may be achieved by optimizing the impeller. The stability of the impeller will be increased, the noise of the shot blasting machine will be reduced, and the impact of the vibration of the shot blasting machine on the working and working environment of the shot blasting machine will effectively be reduced by adding alloy cobalt to the blades and some of the device groups to improve the comprehensive performance of the blades.

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Section: Underdetermined Blind Source Separationmentioning

confidence: 99%