文件名称:highpassfilter
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问题是高切滤波或低通滤波,如果采用硬件实现,速度最快,但是现在计算机速度这么快,硬件实现起来相对麻烦,成本高,且灵活性性差,
软件实现相对方便多了,具体体的操作步骤如下(频率域)
先对数据作正FFT,再对变换后的频域数据乘以滤波因子,滤波因子的选择有理想高通、巴特沃斯高通、指数高通、梯形高通,一般选择梯形高通滤波因子,具体原因你可从数字信号处理的书上找到,,接下来将数据再作逆FFT就是了,还有就是在空间域作滤波,这里有一个带同滤波的程序的程序,你可参考一下,(将低切参数设为零就是你的高切滤波)-The problem is the high cut filter or low pass filter, if the use of hardware, the fastest, but now the computer speed so fast, hardware problems are relatively high cost and poor flexibility,
Software is relatively easy to achieve more concrete steps are as follows body (frequency domain)
Is the first of the data for FFT, then the transformed frequency domain data multiplied by the filter factor, choose the ideal filter factor of the high-pass, Butterworth high-pass, index of high-pass, high pass ladder, generally choose high-pass ladder filter factor the specific reason you can book on digital signal processing found, then the data further inverse FFT is it, there is in the spatial domain for filtering, there is a filtering process with the same program, you can refer to , (the low-cut parameters set to zero is your high-cut filter)
软件实现相对方便多了,具体体的操作步骤如下(频率域)
先对数据作正FFT,再对变换后的频域数据乘以滤波因子,滤波因子的选择有理想高通、巴特沃斯高通、指数高通、梯形高通,一般选择梯形高通滤波因子,具体原因你可从数字信号处理的书上找到,,接下来将数据再作逆FFT就是了,还有就是在空间域作滤波,这里有一个带同滤波的程序的程序,你可参考一下,(将低切参数设为零就是你的高切滤波)-The problem is the high cut filter or low pass filter, if the use of hardware, the fastest, but now the computer speed so fast, hardware problems are relatively high cost and poor flexibility,
Software is relatively easy to achieve more concrete steps are as follows body (frequency domain)
Is the first of the data for FFT, then the transformed frequency domain data multiplied by the filter factor, choose the ideal filter factor of the high-pass, Butterworth high-pass, index of high-pass, high pass ladder, generally choose high-pass ladder filter factor the specific reason you can book on digital signal processing found, then the data further inverse FFT is it, there is in the spatial domain for filtering, there is a filtering process with the same program, you can refer to , (the low-cut parameters set to zero is your high-cut filter)
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highpassfilter.doc