A communication system based on the joint source-channel coding principle is proposed where a fixed-rate sourceencoder using neither a codebook nor an entropy encoder is exploited to avoid the error propagation effec...
详细信息
ISBN:
(纸本)9781467318792
A communication system based on the joint source-channel coding principle is proposed where a fixed-rate sourceencoder using neither a codebook nor an entropy encoder is exploited to avoid the error propagation effect and thus gain in system robustness. An explicit expression of the mean square error (MSE) distortion of the system for a uniform source is derived. Based on the MSE distortion, the optimal design of the communication system under the total transmission rate constraint is formulated as a mixed integer nonlinear optimization problem. We provide an algorithm to achieve the optimal solution via a convex optimization solver. The numerical result shows that the overall performance of the proposed system is close to the performance of the entropy coding scalar quantizer (ECSQ) system established by A. Gyorgy and T. Linder [1] for almost all rate regions.
A communication system based on the joint source-channel coding principle is proposed where a fixed-rate sourceencoder using neither a codebook nor an entropy encoder is exploited to avoid the error propagation effec...
详细信息
ISBN:
(纸本)9781467318808
A communication system based on the joint source-channel coding principle is proposed where a fixed-rate sourceencoder using neither a codebook nor an entropy encoder is exploited to avoid the error propagation effect and thus gain in system robustness. An explicit expression of the mean square error (MSE) distortion of the system for a uniform source is derived. Based on the MSE distortion, the optimal design of the communication system under the total transmission rate constraint is formulated as a mixed integer nonlinear optimization problem. We provide an algorithm to achieve the optimal solution via a convex optimization solver. The numerical result shows that the overall performance of the proposed system is close to the performance of the entropy coding scalar quantizer (ECSQ) system established by A. Gyorgy and T. Linder [1] for almost all rate regions.
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