DocumentCode :
2298820
Title :
Power Preserving 2:1 Bandwidth Reduction Mappings
Author :
Ingber, Amir ; Feder, Meir
Author_Institution :
Amimon
fYear :
2007
fDate :
27-29 March 2007
Firstpage :
385
Lastpage :
385
Abstract :
In this work we consider dimension reducing mappings that can be used for joint source-channel coding (JSCC) systems. In such systems, the source coding and the channel coding is performed as a single operation. Although it is known by Shannon´s separation theorem that asymptotically JSCC is not required for attaining the optimal performance, utilizing such schemes is beneficial for practical reasons such as delay and implementation simplicity. We specifically focus on the bandwidth reduction case, where the bandwidth of the data is greater than the bandwidth of the channel. More specifically, we focus on bandwidth reduction mappings, where the JSCC operation is performed using a single nonlinear operation. A modification of the spiral mapping is presented, so the power at the output is proportional to that of the input
Keywords :
bandwidth allocation; combined source-channel coding; bandwidth reduction mappings; dimension reducing mappings; joint source-channel coding; nonlinear operation; power preserving; AWGN; Additive white noise; Bandwidth; Channel coding; Data compression; Delay; Dynamic range; Random variables; Source coding; Spirals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 2007. DCC '07
Conference_Location :
Snowbird, UT
ISSN :
1068-0314
Print_ISBN :
0-7695-2791-4
Type :
conf
DOI :
10.1109/DCC.2007.65
Filename :
4148786
Link To Document :
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