University of Bahrain
Scientific Journals

Solve Cocktail Party Problem Based on Hybrid Method

Show simple item record M. Salman, Hussein Kadhum M. Al-Qurabat, Ali Riyadh Finjan, Abd alnasir 2024-01-30T12:01:36Z 2024-01-30T12:01:36Z 2024-02-01
dc.identifier.issn 2210-142X
dc.description.abstract One of the most intractable issues in contemporary digital signal processing, particularly with regards to blind source separation methods, is known as the cocktail party dilemma. This problem suppose there are many sensors record many signals at same time to produce many mixed signals. To solve this problem, one of an important methods used for this purpose is an Independent Component Analysis method. This method abbreviates in how separate mixed signals without any pre-knowledge about the mixing signals?. It treats on the statistical features of a mixing signals. This work introduces a novel method to solve the cocktail party problem, by using hybrid method from the Quantum Particle Swarm Optimization method and the Bell- Sejnowski neural method to enhance the performance of the Independent Component Analysis. In addition, the proposed method uses the Negentropy function to be the objective function of the optimization process. The proposed algorithm has been implemented on two cases of three really signals, with 8-KHz frequencies. The results of the separating process measured in two directions: firstly by comparing the results with other methods as Particle Swarm Optimization and the Quantum Particle Swarm Optimization, where the results appear that the proposed method appears very high results than other methods. Secondly, by using standard metrics as Absolute Value Correlation Coefficient, Signal to Distortion Ratio, and Signal to Noise Ratio. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.subject Cocktail-Party Problem, BSS, ICA, QPSO, Bell-Sejnowski (InfoMax) method en_US
dc.title Solve Cocktail Party Problem Based on Hybrid Method en_US
dc.identifier.doi 10.12785/ijcds/150143
dc.volume 15 en_US
dc.issue 1 en_US
dc.pagestart 1 en_US
dc.pageend 9 en_US
dc.contributor.authorcountry Babylon , Iraq en_US
dc.contributor.authorcountry 51001, Babylon, Iraq en_US
dc.contributor.authorcountry Baghdad, Iraq en_US
dc.contributor.authoraffiliation College of Material Engineering, University of Babylon en_US
dc.contributor.authoraffiliation Cyber Security Science Department, College of Science, Al-Mustaqbal University&Department of Computer Science, College of Science for Women, University of Babylon en_US
dc.contributor.authoraffiliation Supreme Commision for Hajj and Umrah en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

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