DocumentCode :
905433
Title :
The analysis of multiple signal data
Author :
SMITH, James W.
Volume :
10
Issue :
3
fYear :
1964
fDate :
7/1/1964 12:00:00 AM
Firstpage :
208
Lastpage :
214
Abstract :
This paper discusses the automatic processing of data containing multiple signals. In particular, filters which modify their structures in order to recognize initially unknown waveforms in Gaussian noise and an unknown signal environment are investigated experimentally. The general structure, derived from decision theory, processes the data in nonlinear fashion and effectively sets up a narrow decision region about the estimate of the signal. The results demonstrate the possibility of using filters of the new type for automatically processing data although the relevant waveforms may be unknown {em a priori}.
Keywords :
Signal analysis; Additive noise; Data analysis; Decision theory; Filters; Gaussian noise; Geometry; Information theory; Signal analysis; Signal processing; Telephony;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1964.1053681
Filename :
1053681
Link To Document :
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