Title :
On a statistical space-time modulation theory
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
To characterize the space-time system, a number of theorems related to optimal space-time information processing, transmission, and storage are introduced. These theorems summarize various properties of the space-time system including space-time sampling, signal classification, and channel capacity optimization. The results generalize the communication theory of Gabor (1946), Shannon (1948), and Nyquist (1928). Test verifications and applications of the space-time modulation theory are discussed.<>
Keywords :
information theory; modulation; statistical analysis; channel capacity optimization; communication theory; optimal space-time information processing; signal classification; space-time sampling; space-time system; statistical space-time modulation theory; storage; theorems; transmission; Additive noise; Communication channels; Entropy; Fuzzy set theory; Information theory; Optical receivers; Optical transmitters; Pattern classification; Signal sampling; Testing;
Conference_Titel :
Communications, Computers and Signal Processing, 1989. Conference Proceeding., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC, Canada
DOI :
10.1109/PACRIM.1989.48432
