Paper Details

: In accordance with the energy of the no-stationary mixed signal the weights of the hybrid model between Gaussian and Gaussian will be allocated. On the other hand, in many practical areas of biomedical and engineering, ICA is a newest idea in the statistics and extensively utilized approach for the purposes of BSS. EEG and ECG are multi-channel recordings which represent bodily activities. These multi-channel recording are particularly difficult to understand because of the complicated propagation feature of human tissue. The various methods of the ICA, however, extract signals that may be easily associated with specific bodily function. It was based on a non-Gaussanity technique to discover independent sources, are based on an advanced version of the fast ICA method of Aapo Hyvärinen and Erkki Oja. MATLAB methods have been created based on linear IVA and ICA mathematical models in this thesis. These methods are used to identify the de-mixing matrix for the signal mixture, thereby isolating the words of each source. Laplacian distribution capabilities mean that speech signals in themselves are leptokurtic such that both IVA and ICA could be recognized easily. Subjective and objective quality tests were used to evaluate the increased signals from both IVA and ICA. The average signal-to-noise ratio (SNR) result and mean opinion indicate that the ICA technique is better suited for this task.

Rohail Khan, Shah Khan, “Comparative Performance Evaluation of Independent Vector Analysis and Independent Component Analysis”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 13, Issue 9, pp. 1-7, September 2026, DOI: 10.5281/zenodo.22814385.