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The estimation of Laplacian factor is a crucial part of speech enhancement algorithms using Laplacian model priori. Classical methods for the estimation of this parameter suffer from the residual noise or time delay bias. In this paper, a novel algorithm called two-step technique for the estimation of Laplacian factor is proposed in discrete cosine(More)
Changes in the density and species composition of planktonic rotifers as well as their relationship to several environmental variables were studied at Dadian Lake, a shallow subtropical lake, which was completely dredged and reconstructed. Samples were taken monthly (2006-2009) at five stations. The total rotifer abundance exponentially declined and reached(More)
In this paper, we propose a frequency-domain speech enhancement algorithm with phase estimation, in which the speech model is modeled by a Gaussian mixture model (GMM) in the log-spectral domain and two closed-form log-spectral amplitude estimators for speech and noise are derived directly by using a Mixture-Maximum (MIXMAX) model. Because the accurate(More)
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