Gaussian mixture models are used successfully in various statistical learning applications. The good results provided by these models encourage several generalizations of them. Among possible adaptations, one can assume a ...

Due to the numerous application possibilities, the theory of wavelets has been applied in several areas of research. The Discrete Wavelet Transform is the most known version. However, the downsampling required for its ...

In this dissertation we present techniques for filtering of tomographic projections with Poisson noise. For the filtering of the tomogram projections we use variations of three filtering techniques: Bayesian estimation, ...

The aim of this paper is estimation the number of simultaneous speakers from the overlapped speech signals. The proposed method in this paper is based on spectrum estimation with adaptive wavelet transform in combination ...

In this article, we develop a general method for constructing wavelets {| det Aj|1/2ψ(Ajx-xj,k): j ∈ J, k ∈ K} on irregular lattices of the form X = {xj,k ∈ ℝd: j ∈ J, k ∈ K}, and with an arbitrary countable family of ...

We present a model for tail wavelets, a phenomenon known as echo in the literature. The tail wavelet may appear in signal reconnaissances in the merger of binary compact objects, including black holes and neutron stars. ...