J. Bakus and A.K. Khandani, \Quantizer design for channel codes with soft output decoding," submitted to IEEE Trans. Inform. Theory.  Home/Search   Document Details and Download   Summary   Related Articles

....channel coding, Turbo codes [5] 6] have been widely recognized as a major breakthrough due to their extraordinary performance. However, in practice, with constraints on delay and complexity, joint source channel coding can significantly outperform traditional tandem coding systems (e.g. 1] [4], 9] 11] 12] 14] 16] 18] 19] In this work, we design and implement a robust soft decision channel optimized vector quantization (COVQ) scheme for Turbo coded channels. More speci cally, we employ the methods introduced in [1] 15] to design a COVQ system that improves the endto ....

....expanded discrete channel which consists of the concatenation of the Turbo encoded and decoded channel with the soft decision demodulator. Alternative approaches for channel optimized quantization using Turbo codes have been previously studied by Bakus and Khandani for scalar quantization [3] [4], and by Ho for vector quantization [11] where the entire (unquantized) soft decision information provided by the LLR of the Turbo decoder is utilized. The performance of our scheme is comparable to Ho s, while the complexity is lower. 2. System design The proposed system is as follows (see ....

J. Bakus and A.K. Khandani, \Quantizer design for channel codes with soft output decoding," submitted to IEEE Trans. Inform. Theory.

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