DocumentCode
2280129
Title
Combined source-channel coding with modulation organized vector quantization (MOR-VQ)
Author
Skinnemoen, Harald
Author_Institution
ABB Nera, Billingstad
Volume
2
fYear
1994
fDate
28 Nov- 2 Dec 1994
Firstpage
853
Abstract
In recent years there has been an increasing interest in combined source- and channel-coding schemes, where significant zero-redundancy error protection can be obtained. However complexity in design, requirements for known channels often along with complex system design concepts has until now prevented such systems from common use. This papers demonstrates that significant zero-redundancy error protection can be obtained by assuming the modulation set known when designing the source coder. The single, most important factor that improves performance is the proper ordering of the data, often viewed as a computationally complex problem. A novel approach for the solution of this problem is developed, based on neural network theory. An interesting conclusion is that for such a system, the selection of correct size for the modulation set is not critical, as opposed to what is generally assumed, and that in some cases a larger symbol set even outperforms a smaller symbol set under noisy conditions
Keywords
channel coding; computational complexity; error correction codes; modulation; neural nets; source coding; speech coding; vector quantisation; computationally complex problem; modulation organized vector quantization; neural network theory; performance; source coder; source-channel coding; speech transmission; symbol set; zero-redundancy error protection; Digital communication; Error correction codes; Forward error correction; Modulation coding; Neural networks; Noise robustness; Protection; Source coding; Speech; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 1994. GLOBECOM '94. Communications: The Global Bridge., IEEE
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-1820-X
Type
conf
DOI
10.1109/GLOCOM.1994.512715
Filename
512715
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