Visible to the public Joint Source Channel Coding with Bandwidth Compression

TitleJoint Source Channel Coding with Bandwidth Compression
Publication TypeConference Paper
Year of Publication2018
AuthorsDeka, Surajit, Sarma, Kandarpa Kumar
Conference Name2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)
Keywordsanalog information, Bandwidth, Bandwidth compression, broadcast channels, Broadcasting, channel coding, combined source-channel coding, composability, Costa coding, digital techniques, digital-analog coding system, distortion, Gaussian broadcast channel, Gaussian channels, HDA schemes, hybrid digital-analog (HDA) coding, hybrid digital-analog coding system, joint source channel coding, Mathematical model, mean-squared error distortion, memoryless bivariate Gaussian source, Metrics, pubcrawl, quantisation (signal), Quantization (signal), quantization scaling factor, Resiliency, wireless channels, Wyner-Ziv coding
AbstractIn this paper, we have considered the broadcasting of a memoryless bivariate Gaussian source over a Gaussian broadcast channel with respect to bandwidth compression. We have analysed the performance of a hybrid digital-analog (HDA) coding system in combination with joint source channel coding (JSCC) to measure the distortion regions. The transmission advantages due to the combination of both the analog and digital techniques, a class of HDA schemes that yields better performance in distortion is discussed. The performance of source and channel coding for the possible better outcome of the system is measured by employing Wyner-Ziv and Costa coding. In our model, we have considered the upper layer to be a combination of a hybrid layer in the sense of both the analog and digital processing is done. This is executed in presence of quantization error and performance of the system is measured with two conditions: 1) HDA scheme with quantization scaling factor α = 0, i.e. the input of the channel have only the analog information which is considered as the scaled quantization error βS 2) The analog information from the first layer S is suppressed by setting error scaling factor β = 0 and 3) Inclusion of recursive mode with JSCC in each of the three layers for the possible better outcome is considered here.
Citation Keydeka_joint_2018