自适应滤波器中的量化效应分析 |
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引用本文: | 阴法明,张奇.自适应滤波器中的量化效应分析[J].电子器件,2018,41(3). |
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作者姓名: | 阴法明 张奇 |
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作者单位: | 南京大学计算机学院 |
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摘 要: | 自适应滤波算法是根据系统的输入信号和输出信号的数学统计特性,采用特定算法自动地调整滤波器某些参数,使其达到理想滤波特性的一种算法。而量化效应是由于软件或硬件的条件限制,使实际精度无法达到理想值而产生的误差对整个系统的影响。
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关 键 词: | 自适应滤波 LMS算法 量化效应分析 最优化 |
Quantization Effects Analysis of Adaptive Filter |
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Abstract: | Adaptive filtering algorithm is a algorithm basing on the statistical characteristics of the input and output signals and using a specific algorithm automatically adjusts the filter coefficients to achieve the desired filter characteristics. And the quantization effect dues to software or hardware conditions, the error of the actual values to achieve the desired accuracy can not be produced will affect the whole system.
This paper first introduces the Wiener filter-based adaptive filter basics and then focuses on the LMS algorithm and its mathematical models. Next comes the adaptive filter quantization effects sources, dissemination, and other related issues, we propose to join immediately leakage factor, change the step and two-factor model parameters to address the problem, in order to quantify the effect of making the deviation caused by the minimum technology. |
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