In this paper, we introduce a novel bayesian compressive sensing (CS) technique for phonetic classification. CS is often used to characterize a signal from a few support training...
Tara N. Sainath, Avishy Carmi, Dimitri Kanevsky, B...
A design method of a linear-phased, two-dimensional (2-D), twofold symmetric circular shaped filter is presented in this paper. Although the proposed method designs a non-separab...
Akila J. Seneviratne, Ha Hoang Kha, Hoang Duong Tu...
We consider Bayesian detection/classification of discrete random parameters that are strongly dependent locally due to some deterministic local constraint. Based on the recently ...
Georg Kail, Jean-Yves Tourneret, Franz Hlawatsch, ...
Acoustic room modeling has several applications. Recent results using large microphone arrays show good performance, and are helpful in many applications. For example, when design...
Demba E. Ba, Flavio Ribeiro, Cha Zhang, Dinei A. F...
In many signal processing problems, it may be fruitful to represent the signal under study in a redundant linear decomposition called a frame. If a probabilistic approach is adopt...