Statistics
Scientific paper
Nov 1999
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1999spie.3807..210c&link_type=abstract
Proc. SPIE Vol. 3807, p. 210-219, Advanced Signal Processing Algorithms, Architectures, and Implementations IX, Franklin T. Luk;
Statistics
Scientific paper
For single-input multiple-output (SIMO) systems blind deconvolution based on second-order statistics has been shown promising given that the sources and channels meet certain assumptions. In our previous paper we extend the work to multiple-input multiple-output (MIMO) systems by introducing a blind deconvolution algorithm to remove all channel dispersion followed by a blind decorrelation algorithm to separate different sources from their instantaneous mixture. In this paper we first explore more details embedded in our algorithm. Then we present simulation results to show that our algorithm is applicable to MIMO systems excited by a broad class of signals such as speech, music and digitally modulated symbols.
Chen Da-Ching
Pottie Gregory J.
Yao Kung
Yu Tommy
No associations
LandOfFree
Blind decorrelation and deconvolution algorithm for multiple-input multiple-output system: II. Analysis and simulation does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Blind decorrelation and deconvolution algorithm for multiple-input multiple-output system: II. Analysis and simulation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Blind decorrelation and deconvolution algorithm for multiple-input multiple-output system: II. Analysis and simulation will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1513652