Thato Tsalaile

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A novel second-order-statistics-based sequential blind extraction algorithm for blind extraction of quasi-periodic signals, with time-varying period, is introduced in this paper. Source extraction is performed by sequentially converging to a solution that effectively diagonalizes autocorrelation matrices at lags corresponding to the time-varying period,(More)
A novel approach for separating heart sound signals (HSSs) from lung sound recordings is presented. The approach is based on blind source extraction (BSE) with second-order statistics (SOS), which exploits the quasi-periodicity of the HSSs. The method is evaluated on both synthetic periodic signals of known period mixed with temporally white Gaussian noise(More)
This paper presents a technique for separation of heart sound signal (HSS) from lung sound signal (LSS) using adaptive line enhancement (ALE). The ALE is used to extract a semi-periodic signal component (HSS) from a synthetic white Gaussian noise (WGN). Application of ALE to separation of HSS from LSS has also been demonstrated. For when synthetic data(More)
Lung sound signal (LSS) measurements are taken to aid in the diagnosis of various diseases. Their interpretation is difficult however due to the presence of interference generated by the heart. Novel digital signal processing techniques are therefore proposed to automate the removal of the heart sound signal (HSS) interference from the LSS measurements. The(More)
A novel multimodal approach for independent component analysis (ICA) of complex valued frequency domain signals is presented which utilizes video information to provide geometrical description of both the speakers and the microphones. This geometric information , the visual aspect, is incorporated into the initialization of the complex ICA algorithm for(More)
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