DocumentCode
914924
Title
Block filtering in amplitude-continuous time-discrete channels (Corresp.)
Author
Berkowitz, S.
Volume
16
Issue
6
fYear
1970
fDate
11/1/1970 12:00:00 AM
Firstpage
782
Lastpage
786
Abstract
A linear amplitude-continuous (LAC) block filter is a real-valued rectangular matrix transformation
of a vector of real-valued zero-mean signal samples with covariance matrix
, such that
is invariant with
. The matrix
adds redundancy to the signal by having more rows than columns. A special class of LAC filters, called orthogonal LAC filters, is constrained by
. For a channel containing zero-mean additive noise, independent of the signal, it is shown that optimum orthogonal LAC filters reduce error by diagonalizing the covariance matrices in the error expression, but are as ineffective as transmission without prefiltering against stationary white noise. On the other hand, this correspondence describes a class of LAC filters that are effective against stationary white noise.
of a vector of real-valued zero-mean signal samples with covariance matrix
, such that
is invariant with
. The matrix
adds redundancy to the signal by having more rows than columns. A special class of LAC filters, called orthogonal LAC filters, is constrained by
. For a channel containing zero-mean additive noise, independent of the signal, it is shown that optimum orthogonal LAC filters reduce error by diagonalizing the covariance matrices in the error expression, but are as ineffective as transmission without prefiltering against stationary white noise. On the other hand, this correspondence describes a class of LAC filters that are effective against stationary white noise.Keywords
Filtering; Additive noise; Covariance matrix; Filtering theory; Information filtering; Los Angeles Council; Nonlinear filters; Redundancy; Signal to noise ratio; Vectors; White noise;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1970.1054561
Filename
1054561
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