Results 231 to 240 of about 160,109 (272)

Zero-delay joint source-channel coding

2014 Iran Workshop on Communication and Information Theory (IWCIT), 2014
In zero-delay joint source-channel coding each source sample is mapped to a channel input, and the samples are directly estimated at the receiver based on the corresponding channel output. Despite its simplicity, uncoded transmission achieves the optimal end-to-end distortion performance in some communication scenarios, significantly simplifying the ...
I. E. Aguerri, M. Varasteh, D. Gunduz
openaire   +1 more source

A joint source/channel coding design

WCC 2000 - ICCT 2000. 2000 International Conference on Communication Technology Proceedings (Cat. No.00EX420), 2002
A method of joint source/channel coding is presented. Based on the statistics of a source with N different symbols, we select N codes having a desired minimum Hamming distance d/sub min/, between them. The decoder utilizes the d/sub min/ and the corresponding relationship between code and symbol to recover the original sequence of symbols without the ...
null Zhou Yanlei, null Liang Zhao, null Meng Shan, null Zhang Youwei   +3 more
openaire   +1 more source

Joint source/channel coding for variable length codes

IEEE Transactions on Communications, 2000
Summary: When using entropy coding over a noisy channel, it is customary to protect the highly vulnerable bitstream with an error-correcting code. In this paper, we propose a technique which utilizes the residual redundancy at the output of the source coder to provide error protection for entropy coded systems.
Sayood, Khalid, Otu, Hasan H., Demir, Nejat   +2 more
openaire   +1 more source

Joint source/channel coding for variable length codes

Proceedings DCC '98 Data Compression Conference (Cat. No.98TB100225), 2002
When using entropy coding over a noisy channel it is customary to protect the highly vulnerable bitstream with an error correcting code. In this paper we propose a technique which utilizes the residual redundancy at the output of the source coder to provide error protection for entropy coded systems.
N. Demir, K. Sayood
openaire   +1 more source

Neural Approximations of Analog Joint Source-Channel Coding

IEEE Signal Processing Letters, 2015
An estimation setting is considered, where a number of sensors transmit their observations of a physical phenomenon, described by one or more random variables, to a sink over noisy communication channels. The goal is to minimize a quadratic distortion measure (Minimum Mean Square Error - MMSE) under a global power constraint on the sensors ...
DAVOLI, FRANCO, MONGELLI, MAURIZIO
openaire   +3 more sources

Joint source/channel coding using trellis-coded CPFSK

1994 IEEE GLOBECOM. Communications: The Global Bridge, 2002
A combined source/channel coding and modulation technique is developed for the transmission of memoryless sources over an AWGN channel. Combined source/channel coding is implemented using the concepts of trellis coded quantization (TCQ) in conjunction with an Ungerboeck code defined for a continuous phase frequency shift keying (CPFSK) signaling scheme.
D.G. Daut, C.A. Sanders
openaire   +1 more source

Efficient LDPC codes for joint source-channel coding

Proceedings of the 2004 11th IEEE International Conference on Electronics, Circuits and Systems, 2004. ICECS 2004., 2005
In this paper, the belief propagation (BP) decoding of LDPC codes is extended to the case of joint source-channel coding. The uncompressed source is treated as a Markov process, characterized by a transition matrix, T, which is utilized as side information for the joint scheme.
H. Kfir, I. Kanter
openaire   +1 more source

Joint Source‐Channel Coding

2022
Andres Kwasinski, Vinay Chande
openaire   +1 more source

Joint Source/Channel Coding Using Turbo Trellis Codes

2001
In this work we present a joint source/channel coding scheme TCQ/TTCM. Compared with its codebook-optimized variations, the scheme can achieve satisfying performance without the modifications of source codebooks. Simulation results show the new scheme can achieve the performance promised by trellis-coded scalar quantization at SNR slightly above the ...
Zhaohui Cai, T. H. Cheng, Chao Lu
openaire   +1 more source

Joint source-channel coding with feedback

2005
Communications is about conveying information from one point to another subject to certain performance constraints. The information is assumed to be generated by a source and may, for example, represent a voice waveform, the reading of a thermal sensor, or packets generated by a node in a network.
openaire   +1 more source