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A class of new criteria for blind deconvolution

机译:一类盲反卷积的新标准

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Complex signal and system models are considered in this paper, a class of new eriteria, which is based on higher-order cumutant is derived for blind deconvolution, it is pointed out that blind deconvolution may be realized by maximize or minimize the normalized cumulant of the system output, this exhibit a new approach of statistics matching for blind deconvolution. As an example, a new blind deconvolution (equalization) algorithm is proposed, and computer simulation results are included to demonstrate the performance of the proposed algorithm.
机译:本文考虑了复杂的信号和系统模型,推导了一类新的基于高阶累积量的盲反卷积算法,指出盲反卷积可以通过最大化或最小化盲文的归一化累积量来实现。系统输出,这展示了一种用于盲反卷积的统计匹配的新方法。例如,提出了一种新的盲解卷积(均衡)算法,并通过计算机仿真结果证明了该算法的性能。

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