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首页> 外文期刊>IEE proceedings, Part K. Vision, image and signal processing >Weighted least-squares blind deconvolution of non-minimum phase systems
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Weighted least-squares blind deconvolution of non-minimum phase systems

机译:非最小相位系统的加权最小二乘盲去卷积

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摘要

A new algorithm based on a weighted least-squares technique is proposed that allows online deconvolution of non-minimum phase systems with neither knowledge of the system's impulse response nor source statistics except for source signal moments up to the fourth order. Using computer simulations and computational complexity evaluation, the authors illustrate and compare the performances and the features of the proposed method with those of other techniques found in the literature.
机译:提出了一种基于加权最小二乘技术的新算法,该算法允许对非最小相位系统进行在线反卷积,除了不知道系统的脉冲响应,也不知道源统计数据,除非源信号矩直至四阶。使用计算机仿真和计算复杂性评估,作者举例说明了该方法的性能和特点,并将其与文献中发现的其他技术进行了比较。

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