DocumentCode
1184974
Title
Multi-channel sampling of low-pass signals
Author
Brown, John L., Jr.
Volume
28
Issue
2
fYear
1981
fDate
2/1/1981 12:00:00 AM
Firstpage
101
Lastpage
106
Abstract
A deterministic signal x(t) band limited to
is passed through m linear time-invariant filters (channels) to obtain the m outputs
. If the filters are independent in a sense to be defined, then It Is shown that the common input
may be reconstructed from samples of the outputs
, each output being sampled at
samples per second or
th the rate associated with the Input signal. A rigorous derivation of this result Is given which proceeds from a minimum error energy criterion and leads to a system of linear algebraic equations for the optimal reconstruction filters. The system of equations derived here, which differs from the system given recently by Papoulis [1], has the advantage of depending on only one parameter
rather than on the two parameters
and
; it also puts into evidence the fact that the spectra of the optimal reconstruction filters can be pieced together directly, without additional computation, from the elements of the system\´s inverse matrix. Lastly, the solutions of the system obtained in the Papoulis formulation are shown to be time-varying linear combinations of the simpler one-parameter solutions.
is passed through m linear time-invariant filters (channels) to obtain the m outputs
. If the filters are independent in a sense to be defined, then It Is shown that the common input
may be reconstructed from samples of the outputs
, each output being sampled at
samples per second or
th the rate associated with the Input signal. A rigorous derivation of this result Is given which proceeds from a minimum error energy criterion and leads to a system of linear algebraic equations for the optimal reconstruction filters. The system of equations derived here, which differs from the system given recently by Papoulis [1], has the advantage of depending on only one parameter
rather than on the two parameters
and
; it also puts into evidence the fact that the spectra of the optimal reconstruction filters can be pieced together directly, without additional computation, from the elements of the system\´s inverse matrix. Lastly, the solutions of the system obtained in the Papoulis formulation are shown to be time-varying linear combinations of the simpler one-parameter solutions.Keywords
Analog signal processing; Signal sampling/reconstruction; Circuits and systems; Equations; Fourier transforms; Frequency; Nonlinear filters; Sampling methods; Signal processing; Time varying systems; Transfer functions;
fLanguage
English
Journal_Title
Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0098-4094
Type
jour
DOI
10.1109/TCS.1981.1084954
Filename
1084954
Link To Document