文档介绍：大连水产学院本科毕业论文（设计） 高通自适应滤波器的算法研究及DSP仿真实现
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毕业论文（设计）
高通自适应滤波器的算法研究及DSP仿真实现
自适应滤波算法及其应用。并对几种典型自适应滤波算法的性能特点进行比较，给出了算法性能的综合评价。其中对LMS算法和RLS算法进行了较深入的理论分析和研究。，对一正弦信号加噪声信号进行滤波。
关键词:自适应滤波，LMS算法，RLS算法，自适应滤波仿真
大连水产学院本科毕业论文（设计） 高通自适应滤波器的算法研究及DSP仿真实现
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Abstract
Adaptive filter is in the process do not know the statistical properties of input when the input process or change the statistical properties, it can automatically adjust its parameters to meet the requirements of a best filter criteria. The so-called adaptive filtering is one time use of the former has access to the results of the filter parameters, automatic adjustment of filter parameters is time to adapt to the unknown signal and noise or time-varying statistical characteristics, in order to achieve the optimal filter. In essence, is a kind of adaptive filter to adjust its own transmission characteristics in order to achieve optimal Wiener filter. Adaptive filter on the input signal does not require a priori knowledge, a small amount of calculation, especially for real-time processing. Adaptive filtering algorithm for adaptive signal processing is the most active one of the research topic. The search for fast convergence and low computational complexity, numerical stability of adaptive filtering algorithm is good researchers continue to strive for goals. This paper discusses the basic principles of adaptive filtering based on the introduction is typical of the adaptive filtering algorithm and its application. And several typical adaptive filtering algorithm to compare the performance characteristics, the algorithm is given a comprehensive evaluation of the performance. One of the LMS algorithm and RLS algorithm is more in-depth theoretical analysis and research. simulation conditions in the design of a second-order weighting coefficient adaptive FIR filter horizontally,