DocumentCode :
1628871
Title :
Discrete multiplicative signals and their recognition algorithms, based on Vilenkin-Krestenson functions spectral techniques
Author :
Nazarov, Lev Evgenievic ; Smolyaninov, Viacheslav Mihailovich
Author_Institution :
Inst. of Radio Eng. & Electron., Acad. of Sci., Moscow, Russia
fYear :
1995
Firstpage :
571
Lastpage :
572
Abstract :
The data transmission performance close to Shannon´s limit can be achieved by means of using optimal signal sets and their optimal recognition algorithms. For channels with additive white Gaussian noise the optimal performance criteria is based on the Euclidean distance. The results of an investigation of discrete multiplicative signal sets are presented. These signal sets were proved to have many useful properties for applications in digital communication systems. The construction methods of discrete multiplicative signal sets are based on Vilenkin-Krestenson functions
Keywords :
Gaussian channels; data communication; functions; information theory; signal synthesis; spectral analysis; Euclidean distance; Shannon´s limit; Vilenkin-Krestenson functions; additive white Gaussian noise channels; construction methods; data transmission performance; digital communication systems; discrete multiplicative signal sets; optimal signal sets; signal recognition algorithms; spectral techniques; Additive white noise; Binary codes; Data communication; Digital communication; Frequency; Hamming distance; Information theory; Modulation coding; Signal analysis; Spectral analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems, and Electronics, 1995. ISSSE '95, Proceedings., 1995 URSI International Symposium on
Conference_Location :
San Francisco
Print_ISBN :
0-7803-2516-8
Type :
conf
DOI :
10.1109/ISSSE.1995.498059
Filename :
498059
Link To Document :
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