Low-complexity joint source/channel turbo decoding of arithmetic codes

Zribi, Amin; Zaïbi, Sonia; Pyndiah, Ramesh; Bouallègue, Ammar

doi:10.1109/turbocoding.2008.4658730

Cited by 5 publications

(6 citation statements)

References 11 publications

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“…To evaluate the efficiency of our decoder with respect to such schemes, a comparison to an iterative decoding scheme with an arithmetic trellis-based de-coder is proposed. The reference decoder was presented in [17,18], and the authors used a bi-dimensional bit-clock trellis to model the arithmetic encoding machine. Then, to generate soft bit-reliability estimates, a modified SOVA [22] algorithm was proposed.…”

Section: Concatenated Ac and Rscc Transmission System Descriptionmentioning

confidence: 99%

“…Recent contributions proposed to exploit the efficiency of turbo decoding by integrating the arithmetic decoder in an iterative decoding process [13,[16][17][18]. These contributions used finite-state machine representations for the AC to apply Soft-Input Soft-Output (SISO) decoding algorithms.…”

Section: Introductionmentioning

confidence: 99%

“…The latter is obtained through a slight modification of the Chase-like arithmetic decoder and generates additional bits reliability measure. Results corresponding to iterative decoding in the case of serial concatenation of an AC with a RSCC are presented and compared to the tandem decoding and to a trellis-based iterative decoding scheme [17,18]. The last major contribution of the article is the implementation of the proposed SISO arithmetic decoder within the JPEG 2000 decoder and the analysis of the improvements obtained by iterative JSC decoding.…”

Section: Introductionmentioning

confidence: 99%

“…Section 4 addresses a new scheme for lowcomplexity SISO arithmetic decoding. Numerical results corresponding to iterative JSC are discussed and compared to tandem decoding and trellis-based arithmetic decoding presented in [17,18]. In Section 5, the application of the proposed iterative decoding approach to a JPEG 2000 image communication system is described.…”

Section: Introductionmentioning

confidence: 99%

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Joint source/channel iterative arithmetic decoding with JPEG 2000 image transmission application

Zaïbi

Zribi

Pyndiah

et al. 2012

EURASIP J. Adv. Signal Process.

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Motivated by recent results in Joint Source/Channel coding and decoding, we consider the decoding problem of Arithmetic Codes (AC). In fact, in this article we provide different approaches which allow one to unify the arithmetic decoding and error correction tasks. A novel length-constrained arithmetic decoding algorithm based on Maximum A Posteriori sequence estimation is proposed. The latter is based on soft-input decoding using a priori knowledge of the source-symbol sequence and the compressed bit-stream lengths. Performance in the case of transmission over an Additive White Gaussian Noise channel is evaluated in terms of Packet Error Rate. Simulation results show that the proposed decoding algorithm leads to significant performance gain while exhibiting very low complexity. The proposed soft input arithmetic decoder can also generate additional information regarding the reliability of the compressed bit-stream components. We consider the serial concatenation of the AC with a Recursive Systematic Convolutional Code, and perform iterative decoding. We show that, compared to tandem and to trellis-based Soft-Input Soft-Output decoding schemes, the proposed decoder exhibits the best performance/ complexity tradeoff. Finally, the practical relevance of the presented iterative decoding system is validated under an image transmission scheme based on the JPEG 2000 standard and excellent results in terms of decoded image quality are obtained.

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Section: Concatenated Ac and Rscc Transmission System Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Joint source/channel iterative arithmetic decoding with JPEG 2000 image transmission application

Zaïbi

Zribi

Pyndiah

et al. 2012

EURASIP J. Adv. Signal Process.

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“…The proposed approach in [8] enables iterative decoding of arithmetic codes by means of soft-input soft-output (SISO) decoder based on suboptimal search and pruning of a binary tree. Authors in [11] propose a low complexity SISO decoder for arithmetic codes using softoutput Viterbi algorithm principle and a trellis description of arithmetic codes. Most of these discussed schemes depend on specific trellis constructions and eventually pruning the trellis or reducing it.…”

Section: Introductionmentioning

confidence: 99%

Accumulator Aided Decoding of Low Complexity SISO Arithmetic Codes with Image Transmission Application

Majumder¹,

Verma²

2013

IJCA

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In this paper, we address Joint Source-Channel (JSC) decoding with low decoding complexity over wireless channel. We propose a unity rate accumulator based design for soft-input soft-out decoding for low complexity Chase-like decoding of arithmetic codes. Chase-like decoding is a low complexity algorithm, where a maximum a posteriori sequence estimation criterion is employed for maximum likelihood decoding of variable length codes like arithmetic codes. Previous contributions propose iterative decoding SISO arithmetic codes with convolutional codes and LDPC codes. We propose application of unity rate accumulator as inner encoder and decoder in the system, which improves the bit error performance of the system by 1.25 dB with same number of decoding iterations. We evaluate the performance of the proposed scheme for image transmission application.

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