Abstract
This paper presents an application to image transmission for a 2-Dimensional (2D) Joint Source Channel Coding (JSCC) system assisted with parameter estimation. The parameter estimation technique used in the 2D JSCC system is based on the Baum-Welsh Algorithm (BWA) to estimate the source correlation statistics during channel decoding. A Modified Bahl-Cocke-Jelinek-Raviv (BCJR) algorithm is employed to exploit the source correlation. The performance of the 2D JSCC system with the BWA-based parameter estimation technique (2D-JSCC-PET1) is evaluated via image transmission simulations. Two images exhibiting strong and weak source correlation are tested to evaluate the effectiveness of the system by measuring the Peak Signal Noise Ratio value and simulation results of the 2D-JSCC-PET1 system are then compared with various benchmark systems. Simulation results reveal that the 2D-JSCC-PET1 system outperforms the other benchmark systems and can perform very close to the ideal 2D JSCC system relying on the assumption of perfect source correlation knowledge at the receiver.
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