In multi-antenna system, the correlations between the receiver antennas degrades the systems performance. In this paper, we propose a spatial decorrelation receiving technique in frequency-selective SIMO channels. A spatial-to-modal matrix is placed after the SIMO channel output to remove the correlations between the receiver antennas caused by the limited antenna separations. Simulation result...

In a variety of contexts, observations are made of the outputs of an unknown multiple-input multiple-output linear system, from which it is of interest to identify the unknown system and to recover the input signals. This often arises, for example, with speech recorded in an acoustic environment in the presence of background noise or competing speakers, in passive sonar applications, and in dat...

Correlated firing among populations of neurons is present throughout the brain and is often rhythmic in nature, observable as an oscillatory fluctuation in the local field potential. Although rhythmic population activity is believed to be critical for normal function in many brain areas, synchronized neural oscillations are associated with disease states in other cases. In the globus pallidus (...

Abstract – Design of space-time codes is based on the statistical analysis of the propagation channel. As knowledge of the channel characteristics is not available at the transmitter, the improvement introduced by antenna diversity is primarily relying on the channel having uncorrelated signal paths. We introduce a combination of eigenbeamforming with orthogonal space-time block codes at the tr...

Vector (multichannel) signal processing has arisen in the last decades as a major area of interest. The classical single-channel (scalar valued) processing techniques cannot deal with the interchannel dependencies, yielding to the development of new methods. This paper investigates two approaches to the median filtering of vector valued signals: filtering based on the reduced ordering in the sp...

An improved technique of co-channel speech separation, S-AADF/LMS, and its integration with automatic speech recognition is presented. The S-AADF/LMS technique is based on the algorithms of accelerated adaptive decorrelation filtering (AADF) and LMS noise cancellation, where a switching between the two algorithms is made depending upon the active/inactive status of the co-channel signal sources...

In this paper we consider noncoherent detection structures for multipath Ricean/Rayleigh fading channels. The multipath components are assumed to be unresolved, with known delays. These delays could have been estimated, for example, by using super-resolution techniques or sounding the channel with a wide-band pulse. We show that the Rayleigh channel optimum receiver (R OPT) consists of an “orth...

In this paper, we introduce a tensor-based subspace method for solving the blind channel estimation problem in a multiple-input multiple-output (MIMO) system. The current subspace methods of blind channel estimation require stacking the multidimensional measurement data into one highly structured vector and estimate the signal subspace via a singular value decomposition (SVD) of the correlation...

The residual echo enhancement (REE) procedure proposed in [1] is able to improve the acoustic echo cancellation (AEC) performance in a very noisy acoustic mixing environment by utilizing the natural learning ability of the least-mean square (LMS) algorithm without precise estimation of the signal statistics. We demonstrate in this paper that the technique can also be applied effectively in a mu...