A blind separation approach for magnitude bounded sources
A blind separation approach for magnitude bounded sources
复制标题
一种幅度有限源的盲分离方法
DOI：
10.1109/icassp.2005.1416269
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
A. Erdogan
中科院分区：
文献类型：
--
作者：
A. Erdogan
提出了一种新的有记忆和无记忆信道的盲源分离方法。该方法利用预白化过程将原始的卷积信道转化为无损、无记忆的信道。然后，基于L/SUB/SPL INFIN//范数准则的盲次梯度算法用于信源分离。提出的分离算法利用了原始信源假设的有界性，并且具有简单的更新规则。通过仿真实例说明了该算法的典型性能，其中只需少量迭代即可实现分离。
A novel blind source separation approach for channels with and without memory is introduced. The proposed approach makes use of a pre-whitening procedure to convert the original convolutive channel into a lossless and memoryless one. Then, a blind subgradient algorithm, which corresponds to an l/sub /spl infin// norm based criterion, is used for the separation of sources. The proposed separation algorithm exploits the assumed boundedness of the original sources and it has a simple update rule. The typical performance of the algorithm is illustrated through simulation examples where separation is achieved with only small numbers of iterations.