DocumentCode
928959
Title
Optimum orthogonal quantization of signal space (Corresp.)
Author
Shacham, N. ; Bar-David, I.
Volume
24
Issue
5
fYear
1978
fDate
9/1/1978 12:00:00 AM
Firstpage
623
Lastpage
626
Abstract
Orthogonal quantization is a partition of signal space that is achieved by independent quantization of each of its
orthogonal axes. A closed form expression is derived for the quantized channel cutoff rate and for the optimum orthogonal quantization similar to the one that has been derived for binary signaling. While orthogonal quantization is natural for communication systems in which the transmitted signals are themselves orthogonal, it can also be profitably applied to other signals, e.g., a simplex set in a lower dimensional space. Though orthogonal quantization is inferior to optimal quantization, it is essentially simpler and does not incur great loss in performance. A numerical example illustrates the relative merits of optimal and orthogonal quantization for the simplex set in the plane.
orthogonal axes. A closed form expression is derived for the quantized channel cutoff rate and for the optimum orthogonal quantization similar to the one that has been derived for binary signaling. While orthogonal quantization is natural for communication systems in which the transmitted signals are themselves orthogonal, it can also be profitably applied to other signals, e.g., a simplex set in a lower dimensional space. Though orthogonal quantization is inferior to optimal quantization, it is essentially simpler and does not incur great loss in performance. A numerical example illustrates the relative merits of optimal and orthogonal quantization for the simplex set in the plane.Keywords
Digital modulation/demodulation; Quantization (signal); Signal quantization; Additive noise; Additive white noise; Communication channels; Communication systems; Demodulation; Filters; Gaussian noise; Memoryless systems; Performance loss; Quantization;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1978.1055926
Filename
1055926
Link To Document