Combined source-channel vector quantization using deterministic annealing
Combined source-channel vector quantization using deterministic annealing
复制标题
使用确定性退火的组合源通道矢量量化
DOI：
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复制
发表时间：
1994
影响因子：
8.3
通讯作者：
K. Rose
中科院分区：
文献类型：
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作者：
David J. Miller;K. Rose
提出了一种信源信道联合矢量量化的新方法。该方法，在信息论和概率论，利用确定性退火，以避免一些局部最小的陷阱，传统的下降算法，如广义劳埃德算法。由此产生的矢量量化器满足必要条件的局部最优噪声信道的情况下。他们测试了该方法对几个版本的噪声信道广义劳埃德算法的平稳，一阶高斯马尔可夫源与二进制对称信道。该方法优于其他方法在所有测试条件下，与噪声信道增益GLA增长的码本大小。使用确定性退火设计的量化器也表现出在信道失配条件下的鲁棒性。作为一个单独的源-通道系统的比较，在大范围的测试通道条件下，该方法优于一个带宽等效系统，包括汉明码。此外，对于严重的信道条件下，该方法产生的解决方案与显式差错控制编码。>
The authors present a new approach to combined source-channel vector quantization. The method, derived within information theory and probability theory, utilizes deterministic annealing to avoid some local minima that trap conventional descent algorithms such as the generalized Lloyd algorithm. The resulting vector quantizers satisfy the necessary conditions for local optimality for the noisy channel case. They tested the method against several versions of the noisy channel generalized Lloyd algorithm on stationary, first order Gauss-Markov sources with a binary symmetric channel. The method outperformed other methods under all test conditions, with the gains over noisy channel GLA growing with the codebook size. The quantizers designed using deterministic annealing are also shown to behave robustly under channel mismatch conditions. As a comparison with a separate source-channel system, over a large range of test channel conditions, the method outperformed a bandwidth-equivalent system incorporating a Hamming code. Also, for severe channel conditions, the method produces solutions with explicit error control coding. >