A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Blind Source Separation Based on Double-Mutant Butterfly Optimization Algorithm
2022
Sensors
The conventional blind source separation independent component analysis method has the problem of low-separation performance. In addition, the basic butterfly optimization algorithm has the problem of insufficient search capability. In order to solve the above problems, an independent component analysis method based on the double-mutant butterfly optimization algorithm (DMBOA) is proposed in this paper. The proposed method employs the kurtosis of the signal as the objective function. By
doi:10.3390/s22113979
pmid:35684599
pmcid:PMC9182827
fatcat:q2cwehq6tfd7rc4jzsz3yjv6ya