Combined Source and Channel Coding for Variable-Bit-Rate Speech Transmission

Goodman, D.J.; Sundberg, C.-E.W.

doi:10.1002/j.1538-7305.1983.tb03528.x

Cited by 53 publications

(9 citation statements)

References 13 publications

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“…Joint design of the source and channel encoder was investigated in [8,9]. JSCC scheme based on the concatenation of two LDPC codes are proposed and analyzed in [10].…”

Section: Introductionmentioning

confidence: 99%

Partially Block Markov Superposition Transmission of a Gaussian Source With Nested Lattice Codes

Zhao

2016

IEEE Trans. Commun.

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This paper studies the transmission of Gaussian sources through additive white Gaussian noise (AWGN) channels in bandwidth expansion regime, i.e., the channel bandwidth is greater than the source bandwidth. To mitigate the error propagation phenomenon of conventional digital transmission schemes, we propose in this paper a new capacity-approaching joint source channel coding (JSCC) scheme based on partially block Markov superposition transmission (BMST) of nested lattice codes. In the proposed scheme, first, the Gaussian source sequence is discretized by a lattice-based quantizer, resulting in a sequence of lattice points. Second, these lattice points are encoded by a short systematic group code.Third, the coded sequence is partitioned into blocks of equal length and then transmitted in the BMST manner. Main characteristics of the proposed JSCC scheme include: 1) Entropy coding is not used explicitly. 2) Only parity-check sequence is superimposed, hence, termed partially BMST (PBMST). This is different from the original BMST. To show the superior performance of the proposed scheme, we present extensive simulation results which show that the proposed scheme performs within 1.0 dB of the Shannon limits. Hence, the proposed scheme provides an attractive candidate for transmission of Gaussian sources. Index TermsGaussian sources, joint source channel coding, nested lattice codes, partially block Markov superposition transmission.Shancheng Zhao is with the College

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“…Joint design of the source and channel encoder was investigated in [8,9]. JSCC scheme based on the concatenation of two LDPC codes are proposed and analyzed in [10].…”

Section: Introductionmentioning

confidence: 99%

Partially Block Markov Superposition Transmission of a Gaussian Source With Nested Lattice Codes

Zhao

2016

IEEE Trans. Commun.

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“…A number of combined source and channel coding techniques were proposed for different types of sources, including the combined source-channel approach for images proposed by Modestino and Daut (31, the joint source and channel trellis coders of Dunham and Gray [4]. Ayanoglu and Gray [ 5 ] , Fischer and Marcellin [ 6 ] , and the combined source and channel coding for variable rate speech coding proposed by Goodman and Sundberg [7].…”

Section: Introductionmentioning

confidence: 99%

“…A modified GLA procedure can be used to design a COVQ based on (7,8). Since the average distortions in successive iterations are non-increasing, the training process is guaranteed to converge.…”

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confidence: 99%

Robust vector quantization for noisy channels using soft decision and sequential decoding

Cuperman

1994

Trans Emerging Tel Tech

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This paper considers the optimization of a vector quantizer whose indices are transmitted over a channel with known noise statistics (pdf). A decoder is introduced which uses a linear combination of VQ codebook entries with weights depending on the received signal. Rather than using a received index to select an entry in the codebook (which implies a hard decision on the index), the decoder uses the received signal and the channel statistics to weight the codebook entries in order to produce a good reconstructed signal. Borrowing a term used in digital communications, we will say that the optimal decoder uses a “soft” decision rule. The corresponding approach will be called Soft Decision Vector Quantization (SDVQ). It is shown that SDVQ achieves a significant performance improvement over both the source optimized VQ and the channel optimized VQ (the latter is based on known channel transition probabilities). For correlated sources, it is shown that SDVQ performance can be further improved by using sequential decoding. Results are presented for an AR(1) source and for speech line spectral pair (LSP) parameter quantization at 24 bits/frame.

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“…There are several ways of improving the robustness of the CELP coded transmission, some of these methods are efficient index assignment [12, 13, 141, param-eter smoothing with error detection [15,161, and Forward Error Correction (FEC) [17,18,19,20,211. Efficient index assignment, or Gray ordering, usually assumes that only one bit in a binary representation of a parameter is disturbed by a channel error, which may not be the case in a harsh channel with a high bit error probability and/or bursty errors.…”

Section: Recent Research Advances In Speech Coding Have Shown That Comentioning

confidence: 99%

“…Goodman and Sundberg [17] conducted a study on combined source and channel coding for variable-bit-rate speech transmission. In their study, the speech coder was an embedded DPCM coder and punctured convolutional codes were used for error protection.…”

Section: Combined Source and Channel Codingmentioning

confidence: 99%

Combined speech and channel coding for mobile radio applications

Shi

Cuperman

1992 IEEE International Conference on Selected Topics in Wireless Communications

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All ~g h bresereed. ABSTRACTWe present in this thesis a combined speech and channel coding scheme for digital mobile communications. The speech coding algorithm is based on Code-Excited Linear Prediction (CELP) and achieves good speech quality at a rate of 4 kb/s. For the channel code, both rate-compatible punctured convolutional (RCPC) codes and punctured Reed-Solomon (PRS) codes are considered. In the case of RCPC codes, soft decision decoding is considered in addition to the simpler hard decision decoding.The modulation format chosen in our study is ~/4-DQPSK with differential detection, the format adopted for the North American Digital Cellular System. Unequal error protection is used based on the bit error sensitivities of the different speech parameters. The performance of the combined speech and channel coder is studied under different mobile channel conditions, such as fade rates, signal-to-noise ratios, and interleaving delays. The results indicate that with no interleaving delay and large channel signal-to-noise ratio, PRS codes provide marginally better protection in terms of the segmental signal-to-noise ratio (SSNR) of the reconstructed speech, while RCPC codes perform better at lower channel SNR. Informal listening tests were performed with the combined codecs using PRS codes and RCPC codes. The comparison shows that, for combined codecs designed using the procedure suggested in the thesis, the difference between the quality of the reconstructed speech in a clean channel and that in a Rayleigh fading channel is imperceptible at channel SNRs larger than 20 dB for both the RCPC and the PRS based codecs.

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Combined Source and Channel Coding for Variable-Bit-Rate Speech Transmission

Cited by 53 publications

References 13 publications

Partially Block Markov Superposition Transmission of a Gaussian Source With Nested Lattice Codes

Partially Block Markov Superposition Transmission of a Gaussian Source With Nested Lattice Codes

Robust vector quantization for noisy channels using soft decision and sequential decoding

Combined speech and channel coding for mobile radio applications

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