DocumentCode :
917919
Title :
Probing signal design for linear channel identification
Author :
Mosca, Edoardo
Volume :
18
Issue :
4
fYear :
1972
fDate :
7/1/1972 12:00:00 AM
Firstpage :
481
Lastpage :
487
Abstract :
This paper deals with the problem of selecting optimum probing signals for identifying multiple-input multiple-output time-varying linear 
-ary channels in the presence of colored Gaussian noise. Unequal emission and observation intervals are considered and necessary and sufficient conditions for nonsingular identification are established. Hilbert-space methods are used for unifying many seemingly different problems in a single framework.
-ary channels in the presence of colored Gaussian noise. Unequal emission and observation intervals are considered and necessary and sufficient conditions for nonsingular identification are established. Hilbert-space methods are used for unifying many seemingly different problems in a single framework.Keywords :
Signal design; System identification; Time-varying channels; Calculus; Chaos; Electrons; Filtering; Hilbert space; Kernel; Polynomials; Probability; Random processes; Signal design;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1972.1054857
Filename :
1054857
Link To Document :
