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Source Separation and Echo Cancellation Using Independent Component Analysis and DWT

Shweta Yadav, Meena Chavan

In recent telecommunication hands free communication is used widely. This hands free communication suffers from many technical problems like room reverberation, acoustic echo, source interference, background noise. This paper proposes with the objective of blind source separation from mixture of many audio source signals , along with echo cancelation. Recent statistical and computational method ICA examined for source separation & echo cancellation. ICA along with DWT worked efficiently in source separation and denoising. An objective component of data is extracted from a linear representation of data, where that data must be non Gaussian and independent or partially dependant. DWTs are applicable for non-parametric signals.