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简单的最小二乘逼近算法,用于系统辨识,方便修改噪声参数和系统参数,为系统辨识和仿真作业的源代码。-Simple least-squares approximation algorithm for system identification to facilitate the modification of system parameters and noise parameters for the system identification and simulation of the source code of operation.
Update : 2025-03-07 Size : 1kb Publisher : lsw_hit

Adaptive Echo Canceller Using a Modified LMS Algorithm Abstract –– In this paper, an echo canceller is presented, using an adaptive filter with a modified LMS (Least Mean Square) algorithm, where this modification is achieved coding error on conventional LMS algorithm. simulation results, show a better convergence speed than conventional LMS algorithm, furthermore, Coded Error algorithm presents lesscomplexity for digital adaptive filters design, due to reduction of floating point operations.
Update : 2025-03-07 Size : 1kb Publisher : venkat

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LMS算法的修改更好地衔接和使用两个步骤尺寸较小的MSE-Modification of the LMS algorithm is better convergence and the use of two steps smaller MSE
Update : 2025-03-07 Size : 37kb Publisher : 丫头
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