Joint Source and Channel Coding

Fresia, Maria; Pérez-Cruz, Fernando; Poor, H. Vincent; Verdú, S.

doi:10.1109/msp.2010.938080

Cited by 131 publications

(96 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…source decoding was proposed in [15]. Instead of expressing a bit as 0 or 1, a softbit represents one bit of information using a floating-point number, indicating our confidence in that bit Q3…”

Section: Softbit Inputmentioning

confidence: 99%

See 1 more Smart Citation

Iterative source and channel decoding relying on correlation modelling for wireless video transmission

et al. 2013

View full text Add to dashboard Cite

Since joint source-channel decoding is capable of exploiting the residual redundancy in the source signals for improving the attainable error resilience, it has attracted substantial attention. Motivated by the principle of exploiting the source redundancy at the receiver, in this treatise, the authors study the application of iterative source-channel decoding (ISCD) aided video communications, where the video signal is modelled by a first-order Markov process. Firstly, the authors derive reduced-complexity formulas for the first-order Markov modelling (FOMM) aided source decoding. Then they propose a bit-based iterative horizontal-vertical scanline model (IHVSM) aided source decoding algorithm, where a horizontal and a vertical source decoder are employed for exchanging their extrinsic information using the iterative decoding philosophy. The iterative IHVSM aided decoder is then employed in a forward error correction (FEC) encoded uncompressed video transmission scenario, where the IHVSM and the FEC decoder exchange softbit-information for performing turbo-like ISCD for the sake of improving the reconstructed video quality. Finally, the authors benchmark the attainable system performance against a near-lossless H.264/AVC video communication system and the existing FOMM-based softbit source decoding scheme, where the softbit decoding is performed by a one-dimensional Markov model aided decoder. The authors simulation results show that E b /N 0 improvements in excess of 2.8 dB are attainable by the proposed technique in uncompressed video applications Q1.

show abstract

Section: Softbit Inputmentioning

confidence: 99%

“…a i x i = p y i−1 0^xi b i x i = p y t i+1 |x i x i x i = p y i |x i (15) www.ietdl.org The probability function α, β and χ in (15) are illustrated graphically in the trellis of Fig. 3.…”

Section: References 8 Appendixmentioning

confidence: 99%

Iterative source and channel decoding relying on correlation modelling for wireless video transmission

et al. 2013

View full text Add to dashboard Cite

show abstract

“…As we can see in [14], Banihashemi used LDPC code as channel code in his JSCC scheme with UEP. However, there are not any JSCC schemes with UEP that introduce LDPC codes as both source codes and channel codes [15]- [16], named double LDPC (D-LDPC) system, which carries out the belief propagation (BP) algorithm with soft input soft output (SISO) during decoding process. Meanwhile, a uniform Tanner graph can be used to analyze and optimize the concatenated system.…”

Section: Introductionmentioning

confidence: 99%

“…SYSTEM MODEL WITH UEP The factors, which influence the performance of the D-LDPC system, have been revealed in [16]. The performance is highly associated with the source statistics, which is usually described by the form of entropy of the source, shown in (1) :…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Unequal error protection for radiography image transmission using protograph double LDPC codes

et al. 2013

2013 Wireless Telecommunications Symposium (WTS)

View full text Add to dashboard Cite

Abstract-In this paper, a novel unequal error protection (UEP) scheme, which is constructed from protograph double low-density parity-check (PD-LDPC) codes, and tailored for medical images is proposed to minimize the end to end image distortion over additive white Gaussian noise (AWGN) channel. The UEP scheme is carried out by adopting different coding strategies in terms of the different significant levels and different entropies of image data streams from discrete cosine transform (DCT). A typical radiography image and other two gray-scale images are exploited in the simulation. The experimental results show that the proposed scheme can evidently increase the peak signal to noise ratio (PSNR) value of the received images and reconstruct the transmitted images with good quality even at a very low signal-to-noise ratio (SNR). In particular, the proposed scheme outperforms the other UEP schemes based on regular D-LDPC codes and turbo codes by up to 0.5 and 2.5 dB in the SNR when the PSNR of the reconstructed images reach the expected upper bound, respectively.Index Terms-Unequal error protection (UEP), Protograph Double LDPC (PD-LDPC), Radiography image.

show abstract

Adaptive joint source coding LDPC for energy efficient communication in wireless network on chip

Sindgi,

Mahadevaswamy

2024

Int J Syst Assur Eng Manag

View full text Add to dashboard Cite

Joint Source and Channel Coding

Cited by 131 publications

References 43 publications

Iterative source and channel decoding relying on correlation modelling for wireless video transmission

Iterative source and channel decoding relying on correlation modelling for wireless video transmission

Unequal error protection for radiography image transmission using protograph double LDPC codes

Adaptive joint source coding LDPC for energy efficient communication in wireless network on chip

Contact Info

Product

Resources

About