Paper Details

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

Rohail Khan, Shah Khan, “A COMPARATIVE ANALYSIS OF INDEPENDENT VECTOR AND COMPONENT ANALYSIS IN TERMS OF PERFORMANCE EVALUATION”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 9, Issue 1, pp. 1-6, January 2022.