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RLS-auto-adapter-fiter

于 2006-08-29 发布 文件大小:4KB
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  考虑一个线性自适应均衡器的原理方框图如《现代数字信号处理导论》p.275自适应均衡器应用示意图。用LMS算法实现这个自适应均衡器,画出一次实验的误差平方的收敛曲线,给出最后设计滤波器系数。一次实验的训练序列长度为500。进行20次独立实验,画出误差平方的收敛曲线。给出3个步长值的比较。(consider a linear adaptive equalizer block diagram as the principle of "modern digital signal processing" Introduction to the p.275 adaptive equalizer application schema. LMS algorithm with the adaptive equalizer, painted a square experimental error of convergence curve, given final design filter coefficients. Experimental a length of the training sequence to 500. Conduct 20 separate experiments, painted square error of the convergence curve. Given three step-value comparisons.)

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    对连续的单一频率离散序列 ,即k=8。 按采样频率 采样,截取长度N分别选N =20和N =16,观察其DFT结果的幅度谱。 (Discrete to continuous sequence of single frequency, ie k = 8. According to the sampling frequency sampling, truncation length N = 20 N, respectively, and selected N = 16, observed the results of its DFT magnitude spectrum.)
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    这是在研究神经网络的过程中,自己编写的用于模式识别的MATLAB源代码,相信对于神经网络的学习者有帮助,其中也给了测试数据! (This is the study of neural networks in the process of their preparation for the MATLAB source code for pattern recognition, neural networks and I believe that learners be helpful, which also gave the test data!)
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