DocumentCode
761635
Title
Generalization of Results on Vector Sampling Expansion
Author
Feuer, Arie ; Goodwin, Graham C. ; Cohen, Moche
Author_Institution
Dept. of Electr. Eng., Haifa Univ.
Volume
54
Issue
10
fYear
2006
Firstpage
3805
Lastpage
3814
Abstract
This paper addresses the problem of parsimonious sampling of filtered signals. A vector of bandlimited signals is passed through a multiple-input multiple-output (MIMO) filter and then sampled. Conditions on the sampling rates are presented that allow for perfect reconstruction of the original signals. We extend previous results in two aspects. First, we allow for different bandwidths in signal vector entries while previous results were restricted to the same bandwidth in all entries. Second, we emphasize the parsimonious aspect of the sampling. Namely, in each case, including those previously treated, we highlight the gains which can be made via downsampling
Keywords
bandlimited signals; filtering theory; signal reconstruction; signal sampling; bandlimited signals; filtered signals; multiple-input multiple-output filter; parsimonious sampling; perfect reconstruction; sampling rates; signal vector sampling expansion; Band pass filters; Bandwidth; Filter bank; MIMO; Multidimensional systems; Radar; Sampling methods; Sonar; Transmitters; Wireless communication; Generalized sampling; reconstruction; sampling;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2006.879310
Filename
1703849
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