传输分集 beamforming_多天线增益_CiteSeerX Citation Query Beamforming:(3)

...ce of the source from the sensor array), and arbitrary array shape. In contrast, RF source can be considered to be narrowband, far-field, and the array shape is often controlled. Many tutorial papers =-=[6]-=--[7] and books [8]-[10] have dealt with beamforming and localization. Recent development in single frame acoustic source localization can be categorized into two classes, namely, two-step methods (for...

GSVD-Based Optimal Filtering for Single and Multi-Microphone Speech Enhancement

by Simon Doclo, Marc Moonen , 2002

"... In this paper a Generalised Singular Value Decomposition (GSVD) based algorithm is proposed for enhancing multi-microphone speech signals degraded by additive coloured noise. This GSVD-based multi-microphone speech signal... ..."

Abstract - Cited by 46 (14 self) - Add to MetaCart

In this paper a Generalised Singular Value Decomposition (GSVD) based algorithm is proposed for enhancing multi-microphone speech signals degraded by additive coloured noise. This GSVD-based multi-microphone speech signal...

Fetal electrocardiogram extraction by blind source subspace separation

by Lieven De Lathauwer, Bart De Moor, Joos Vandewalle - IEEE Trans. Biomed. Eng , 2000

"... ..."

Abstract - Cited by 41 (0 self) - Add to MetaCart

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Citation Context

... will be estimated as by a simple matrix multiplication (2) As an example, can take the form of the pseudoinverse with an estimate of the mixing matrix. More generally, various beamforming strategies =-=[22]-=- can be applied. Exploitation of the fact that the source signals are uncorrelated leads to a classical principal component analysis (PCA), which only allows to estimate the sources as well as the mix...

Algebraic Methods for Deterministic Blind beamforming

by Alle-Jan van der Veen , 1998

"... Deterministic blind beamforming algorithms try to separate superpositions of source signals impinging on a phased antenna array by using deterministic properties of the signals or the channels such as their constant modulus or directions-of-arrival. Progress in this area has been abundant over the p ..."

Abstract - Cited by 38 (6 self) - Add to MetaCart

Deterministic blind beamforming algorithms try to separate superpositions of source signals impinging on a phased antenna array by using deterministic properties of the signals or the channels such as their constant modulus or directions-of-arrival. Progress in this area has been abundant over the past ten years and has resulted in several powerful algorithms. Unlike optimal or adaptive methods, the algebraic methods discussed in this review act on a fixed block of data and give closed-form expressions for beamformers by focusing on algebraic structures. This typically leads to subspace estimation and generalized eigenvalue problems. After introducing a simple and widely used multipath channel model, the paper provides an anthology of properties that are available, and generic algorithms that exploit them.

Linear Matrix Inequality Formulation of Spectral Mask Constraints

by Timothy N. Davidson, Zhi-Quan (Tom) Luo, Mask Constraints, Timothy N. Davidson Ti, Zhi-quan (tom Luoi, Jos F. Sturm , 2000

"... The design of a finite impulse response filter often involves a spectral 'mask' which the mag- nitude spectrum must satisfy. This constraint can be awkward because it is semi-infinite, since it yields two inequality constraints for each frequency point. In current practice, spectral mask ..."

Abstract - Cited by 37 (7 self) - Add to MetaCart

The design of a finite impulse response filter often involves a spectral 'mask' which the mag- nitude spectrum must satisfy. This constraint can be awkward because it is semi-infinite, since it yields two inequality constraints for each frequency point. In current practice, spectral masks are often approximated by discretization, but in this paper we will show that piecewise constant masks can be precisely enforced in a finite and convex manner via linear matrix inequalities.

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