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Modified leaky delayed LMS algorithm for imperfect estimate system delay

机译:修正的泄漏延迟LMS算法用于不完美的估计系统延迟

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This paper proposes a modified leaky delayed least-mean-square (MLDLMS) algorithm, aiming to circumvent algorithm instability problems under imperfect system delay estimates. In addition, a model for the first and second moments of the algorithm is proposed. Such a model is obtained without invoking the independence theory and considering a slow adaptation condition. Numerical simulations corroborate the very good agreement between the results obtained with the Monte Carlo method and those from the proposed model for colored Gaussian inputs.
机译:提出了一种改进的泄漏延迟最小均方(MLDLMS)算法,旨在解决系统延迟估计不完善的情况下算法的不稳定性问题。此外,针对该算法的第一时刻和第二时刻,提出了一个模型。在不调用独立性理论并且不考虑慢适应条件的情况下获得这种模型。数值模拟证实了用蒙特卡洛方法获得的结果与从彩色高斯输入模型中获得的结果之间的很好的一致性。

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