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2007 Data Compression Conference (DCC'07)
Snowbird, Utah
March 27-March 29
ISBN: 0-7695-2791-4
Amir Ingber, Amimon, Israel
Meir Feder, Tel-Aviv University
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.
Citation:
Amir Ingber, Meir Feder, "Power Preserving 2:1 Bandwidth Reduction Mappings," dcc, pp.385, 2007 Data Compression Conference (DCC'07), 2007
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