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- W2186911213 abstract "Abstract Iterative source-channel decoding (ISCD)might be computation-ally expensive depending on the system configuration. This isa crucial factor in many applications due to energy constraints.Therefore, complexity-reduction is an important issue. In thispaper, weproposeanISCDsystemusinginnerirregularinsertionconvolutional (IC) codes that inserts known dummy bits into thedata frame before convolutional encoding to exploit them as per-fect a priori knowledge at the related MAP decoder. Complexity-reduction is primarily achieved for the soft decision source de-coder (SDSD) by decreasing the number of parity bits of theredundant bit mapping (RBM) corresponding to the fraction ofdummy bits. 1 Introduction It has been proven that iterative source-channel decoding(ISCD)[4]canperformclosetothetheoreticallimitbyexploitingthe residual redundancy of the source codec parameters. Extrin-sic information is exchanged in a turbo-like process between a soft decision source decoder (SDSD) [3] and a channel decoder.However, ISCD and in particular the SDSD is computation-ally quite expensive especially if large quantizer codebooks andlow-rate" @default.
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- W2186911213 date "2010-01-01" @default.
- W2186911213 modified "2023-09-26" @default.
- W2186911213 title "Complexity-Reduced Iterative Source-Channel Decoding Using Inner Irregular Insertion Convolutional Codes" @default.
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