J. Bakus and A. K. Khandani, \Quantizer design for Turbo-code channels," Technical Report E&CE#99-04, University of Waterloo, Jul. 1999. Home/Search Document Details and Download
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This paper is cited in the following contexts:
Joint Source-Channel Coding via Turbo Codes - Zhu (Correct)
....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 [10, 11], and by Ho for vector quantization [48] where the entire (unquantized) soft decision information provided by the 30 LLR of the Turbo decoder is utilized. Our scheme o ers better performance than Ho s system; furthermore, the decoding complexity of our system is lower but the storage requirement ....
J. Bakus and A. K. Khandani, \Quantizer design for Turbo-code channels," Technical Report E&CE#99-04, University of Waterloo, Jul. 1999.
Soft-Decision COVQ for Turbo-Coded AWGN and Rayleigh Fading.. - Zhu, Alajaji (Correct)
....coding, Turbo codes [5] have been widely recognized as the most exciting breakthrough due to their extraordinary performance. However, in practice, with constraints on delay and complexity, joint source channel coding can signi cantly outperform traditional tandem coding systems (e.g. 1] [4], 6] 7] 9] 11] 12] In this work, we design and implement a robust softdecision channel optimized vector quantization (COVQ) scheme for Turbo coded AWGN channels and Rayleigh fading channels with known side information. More speci cally, we employ the methods recently introduced in ....
....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 [7] where the entire (unquantized) soft decision information provided by the LLR of the Turbo decoder is utilized. Our scheme o ers better performance than Ho s system; furthermore, the decoding complexity of our system is lower but the storage requirement ....
J. Bakus and A.K. Khandani, \Quantizer design for Turbo-code channels," Technical Report E&CE#99-04, University of Waterloo, July 1999.
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