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iir-filter

于 2011-03-31 发布 文件大小:84KB
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说明:  基于matlab 的信号处理方面的程序实现,包括iir滤波器的设计等(These are program examples about signal and system based on matlab )

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    DFT进行频谱分析时的三种现象 1、混叠:对连续信号采样,要求连续信号是带限的,采样频率要足够高。Fs应满足Nyquist采样定理才不产生混叠。 采样前加低通滤波器防混叠 2、频谱泄漏:DFT对时域信号进行了截断(相当于采样信号乘了一个窗函数),时域的乘积相当于频域卷积,改变了原信号频谱。 改用其他窗函数(非矩形)改善泄漏。 3、栅栏现象:DFT 只给出了频谱在采样点上的取值,采样点间的频谱内容丢失。(DFT spectrum analysis of a three phenomena, aliasing : continuous signal sampling, requiring continuous signal is band-limited, the sampling frequency should be high enough. Fs meet the Nyquist Sampling Theorem would not have aliasing. Sampling former low-pass filter plus anti-aliasing 2, spectrum leakage : DFT right time domain signal a disconnect (equivalent to a sampling signal by a window function). time domain is equivalent to the product of frequency-domain convolution, changes in the spectrum of the original signal. Window functions to switch to other (non-rectangular) to improve leakage. 3, fenced phenomenon : DFT spectrum is given only at the sampling point value, sampling points of the spectrum as lost.)
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    说明:  对一副测试图像进行加各种噪声,然后进行多帧平均,中值滤波,均值滤波,维纳滤波,理想低通滤波,巴特沃斯低通,带通滤波,自适应滤波九种方法处理,并分析结果,得出各种滤波方法的优缺点。包括实验报告(Plus a pair of test images of all kinds of noise, and then multi-frame averaging, median filtering, mean filtering, Wiener filter, the ideal low-pass filter, Butterworth low-pass, band pass filtering, adaptive filtering nine kinds of approach and analyze the results, obtained the advantages and disadvantages of various filtering methods. Including the lab report)
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