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ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Designing channel codes is one of the core research areas for modern communication systems. Canonical channel codes asymptotically achieve near-capacity performance under large block length regime for additive white gaussian noise channels. However, this achieved success does not generalize to many channels.
Yihan Jiang +5 more
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Designing channel codes is one of the core research areas for modern communication systems. Canonical channel codes asymptotically achieve near-capacity performance under large block length regime for additive white gaussian noise channels. However, this achieved success does not generalize to many channels.
Yihan Jiang +5 more
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A Low-Complexity Scheduling for Turbo Equalization with Turbo Decoding
2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring, 2007A novel scheduling for turbo equalization with turbo decoding is proposed. The use of turbo codes associated to turbo equalizers has been frequently investigated in the literature. The conventional turbo equalizer with turbo decoding consists of a soft input soft output equalizer cooperating with a turbo decoder. In this way, the turbo decoder performs
André Fonseca dos Santos +2 more
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Turbo Codes and Turbo Equalization
2000Turbo codes, introduced by Berrou, et al.[Berrou et al., 1993] in 1993, provide large coding gain for the memoryless additive white Gaussian noise (AWGN) channel and bring the system performance to within 1 dB from the Shannon capacity limit [Shannon, 1948]. The superior performance soon caused turbo codes to receive intense study.
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Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings., 2003
A new iterative processing for image restoration is proposed based on the turbo iterative principle. For this purpose, two uncorrelated component images issued from an original image are differently filtered and the pieces of information extracted from both filters are mutually exchanged in the iterative process.
Hong Sun, Henri Maître, Bao Guan
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A new iterative processing for image restoration is proposed based on the turbo iterative principle. For this purpose, two uncorrelated component images issued from an original image are differently filtered and the pieces of information extracted from both filters are mutually exchanged in the iterative process.
Hong Sun, Henri Maître, Bao Guan
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Turbo deflation : quest of turbo effect
2006Turbo deflation : quest of turbo ...
Ben Rhouma, Ons +2 more
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2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
We describe an iterative algorithm for quantizing overcomplete frames that achieves more than 18 dB/Octave improvement in the reconstruction error due to quantization. It starts with the trellis quantization path then successively refines the estimation with monotonically improving quantization through turbo iterations.
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We describe an iterative algorithm for quantizing overcomplete frames that achieves more than 18 dB/Octave improvement in the reconstruction error due to quantization. It starts with the trellis quantization path then successively refines the estimation with monotonically improving quantization through turbo iterations.
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IEEE Transactions on Communications, 2001
Summary: This letter is concerned with a family of modified turbo-type codes, referred to as turbo-SPC (single parity check) codes. A technique based on the SPC code is introduced to replace puncturing for rate adjustment. A noticeable feature of the proposed scheme is the significantly reduced decoding complexity compared with the standard punctured ...
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Summary: This letter is concerned with a family of modified turbo-type codes, referred to as turbo-SPC (single parity check) codes. A technique based on the SPC code is introduced to replace puncturing for rate adjustment. A noticeable feature of the proposed scheme is the significantly reduced decoding complexity compared with the standard punctured ...
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Proceedings of the IEEE Information Theory Workshop, 2003
In this paper we investigate turbo coding for BLAST (Bell Labs layered space-time) by encoding single user data streams and transmitting the symbols in different antennas. At the receiver we adopt an MMSE nulling, incremental decoding and soft cancellation approach to decode the symbols.
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In this paper we investigate turbo coding for BLAST (Bell Labs layered space-time) by encoding single user data streams and transmitting the symbols in different antennas. At the receiver we adopt an MMSE nulling, incremental decoding and soft cancellation approach to decode the symbols.
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