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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

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2018
2018
Spectrum sensing with single primary user (PU) has attracted the attention of researchers due to its influence on the scarce… 
2010
2010
In this paper a range of reduced-rank adaptive multiuser detectors (MUDs) are proposed and investigated for the hybrid direct… 
2004
2004
  • Qifa KeT. Kanade
  • 2004
  • Corpus ID: 17221976
Subspace clustering has many applications in computer vision, such as image/video segmentation and pattern classification. The… 
1998
1998
The primary purpose of this work is to provide a perspective on adaptive code-division multiple-access (CDMA) MU receivers that… 
1995
1995
A key to successful image compression is a combination of (1) energy compaction by appropriate transform algorithms to exploit… 
1987
1987
  • A. AbdallahY. Hu
  • 1987
  • Corpus ID: 20538989
This paper concerns the parallel VLSI computing array implementaion for a novel signal subspace iteration algorithm (SSIA… 
1985
1985
  • N.L. Owsley
  • 1985
  • Corpus ID: 63087050
The re1 a t i onsh i p b e tween t h e t r a d i t i o n a l m i n i m u m v s r i a r i c e d i s t o r t i o n 1 e 5 5 r e s p…