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auto_filter

于 2021-02-01 发布
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代码说明:

说明:  自适应滤波器作为一种现代滤波器,在通信领域有着广泛的应用. 阐述了LMS以及RLS自适应滤波器的相关原理及其在通信系统去噪中的应用,并用MATLAB对自适应滤波器的去噪结果进行了相应的仿真,仿真结果直观地体现了自适应滤波器的去噪性能。 本文对自适应滤波器系统进行剖析,基于QPSK调制后的信号,并对该信号加工成为不同信噪比如SNR=0Db、SNR=5dB、SNR=10dB的信号,进行了两种分别基于LMS自适应滤波和RLS自适应滤波的操作。并对添加了有色高频噪声等加噪处理来模拟通信过程中的实际应用环境,测试所设计的低通滤波器对于噪声信号的滤波性能,并对结果进行分析总结。(As a modern filter, adaptive filter has a wide range of applications in the field of communication. This paper expounds the relevant principles of LMS and RLS adaptive filter and their applications in the de-noising of communication system, and simulates the de-noising results of adaptive filter with MATLAB. The simulation results directly reflect the de-noising performance of adaptive filter. In this paper, the adaptive filter system is analyzed, based on the QPSK modulated signal, and the signal is processed into different signal-to-noise, such as SNR = 0dB, SNR = 5dB, SNR = 10dB signal. Two kinds of operation are carried out based on LMS adaptive filtering and RLS adaptive filtering respectively. In order to simulate the practical application environment in the communication process, we add colored high-frequency noise to test the filtering performance of the designed low-pass filter for noise signal, and analyze and summarize the results.)

文件列表:

auto_filter\LMSfilter.m, 912 , 2020-12-31
auto_filter\noisegen.m, 365 , 2020-12-31
auto_filter\orisignal.asv, 3580 , 2020-12-31
auto_filter\orisignal.m, 4147 , 2020-12-31
auto_filter, 0 , 2020-12-31

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