Application of LCLP to lossy source coding

S. Miyake, J. Honda, H. Yamamoto
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Abstract

Linear code linear programming (LCLP) proposed by Feldman is one of the promising methods to implement the lossy source coding process efficiently. In the encoding and decoding of a lossy source code constructed by sparse matrices, we propose auxiliary methods to obtain approximate optimal values in the case where the output of LCLP takes non-integer values. In a simulation, the proposed method attains smaller average distortions than the time-sharing bound.
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LCLP在有损源编码中的应用
费尔德曼提出的线性码线性规划(LCLP)是有效实现有损源编码过程的一种很有前途的方法。在由稀疏矩阵构成的有损源代码的编码和解码中,我们提出了在LCLP输出为非整数值的情况下获得近似最优值的辅助方法。仿真结果表明,该方法的平均失真比分时边界小。
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