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This paper presents an efficient thresholding technique for wavelet speech enhancement. The signal-bias compensated noise level is used as the threshold parameter. The noise as well as signal level is estimated from the detail wavelet packet (WP) coefficients in the first scale. Both hard and soft thresholding are applied successively. The regions for hard thresholding are identified by estimating...
This paper presents a new method for parameter estimation of autoregressive (AR) signals from colored noise-corrupted observations using a damped sinusoidal model of the autocorrelation function of the noise-free AR signal. Unlike conventional correlation-based techniques, the proposed scheme first estimates the damped sinusoidal model parameters from the given noisy observations using a least-squares...
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