Statistical Analysis of Multichannel Signals

Statistical analysis of speech signals

Classification of Multichannel Ecg Signals Using a Cross-distance Analysis

This paper presents a multi-stage algorithm for multichannel ECG beat classification into normal and abnormal categories using a sequential beat clustering and a crossdistance analysis algorithm. After clustering stage, a search algorithm is applied to detect the main normal class. Then other clusters are classified based on their distance from the main normal class. The algorithm is developed ...

Multichannel Coding of Applause Signals

We develop a parametric multichannel audio codec dedicated to coding signals consisting of a dense series of transient-type events. These signals of which applause is a typical example are known to be problematic for such audio codecs. The codec design is based on preservation of both timbre and transient-type event density. It combines a very low complexity and a low parameter bit rate (0.2 kb...

Multichannel Sampling of Multidimensional Parametric Signals

The contribution of this paper is two-fold; first, we present a novel approach for sampling and reconstructing two dimensional signals with parametric structure or namely signals with Finite Rate of Innovation (FRI). The considered signals are bi-level polygons and set of 2-D Diracs and it will be shown that with the use of ACMP method, projection-slice theorem, Radon projections and exponentia...

Multichannel Blind Deconvolution of Seismic Signals

A new algorithm for simultaneous wavelet estimation and deconvolution of seismic reflection signals is given. To remove the inherent ambiguity in this blind deconvolution problem, we introduce relevant a priori information. Our major assumption is sparseness of the reflectivity, which corresponds to a layered earth model. This allows non-minimum phase wavelets to be recovered reliably and close...