同样的,s域表达式有了,用双线性变换就可转换为数字卷积核了。 Part3 Gaussian Active Filter (HW) Gaussian Active Filter 这里采用Multiple Feedback Topology实现,具有高增益,高Q-factor特性。 先介绍下Q-factor: Q-factor即共振频率下的\left| H(j\omega) \right| 可以根据bode plot 简单计算: Q=10^{PK/...
例子: >>>fromscipy.ndimageimportgaussian_filter1d>>>importnumpyasnp>>>gaussian_filter1d([1.0,2.0,3.0,4.0,5.0],1) array([1.42704095,2.06782203,3.,3.93217797,4.57295905])>>>gaussian_filter1d([1.0,2.0,3.0,4.0,5.0],4) array([2.91948343,2.95023502,3.,3.04976498,3.08051657])>>>importmatplotlib.py...
# 需要导入模块: from scipy import ndimage [as 别名]# 或者: from scipy.ndimage importgaussian_filter1d[as 别名]defset_prefilter(self,gaussian = False, median = False, params = []):self._do_prefilter_data =Falseifgaussianormedian: self._do_prefilter_data =True#print gaussian, medianifmed...
# 需要导入模块: from scipy.ndimage import filters [as 别名]# 或者: from scipy.ndimage.filters importgaussian_filter1d[as 别名]defpick_peaks(nc, L=16):"""Obtain peaks from a novelty curve using an adaptive threshold."""offset = nc.mean() /20.nc = filters.gaussian_filter1d(nc, sigma=...