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Signal subspace

Known as: Subspace filtering 
In signal processing, signal subspace methods are empirical linear methods for dimensionality reduction and noise reduction. These approaches have… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
The separation of signal-and-noise subspaces is a crucial step in many array signal processing applications, since the… 
Highly Cited
2015
Highly Cited
2015
Massive MIMO is a variant of multiuser MIMO (Multi-Input Multi-Output) system, where the number of basestation antennas M is very… 
Highly Cited
2011
Highly Cited
2011
Uniform circular arrays (UCAs) with 360° azimuthal coverage are very useful for structural health monitoring (SHM) of large… 
Highly Cited
2008
Highly Cited
2008
Multidimensional harmonic retrieval problems are encountered in a variety of signal processing applications including radar… 
Highly Cited
2006
Highly Cited
2002
Highly Cited
2002
In this paper, we propose a new direction of arrival (DOA) estimator for sensor-array processing. The estimator is based on a… 
Highly Cited
1996
Highly Cited
1996
We consider the estimation of channel parameters for code-division multiple access (CDMA) communication systems operating over… 
Highly Cited
1988
Highly Cited
1988
A class of focussing matrices is proposed for use in the coherent signal-subspace method (CSM) (H. Wang and M. Kaveh, ibid., vol… 
Highly Cited
1986
Highly Cited
1986
An efficient algorithm is presented for estimating a covariance matrix consisting of a low-rank signal term and a full-rank noise…