components.interp.filterdesign
- class FilterDesign(config={}, **kwds)[source]
Bases:
Component
Generate a 1-D filter from an ideal response.
The response is specified as a series of normalised frequency values (in the range 0.0 to 0.5), corresponding gain values, usually in the range 0.0 to 1.0, and (optionally) corresponding weight values. A filter is generated that minimises the weighted square of the deviation from this ideal response.
The weight values are a measure of how much you care about the response at different frequencies. For example, you may want “flat” pass bands and stop bands, but not care too much about the transition band.
The
response
output emits the ideal and actual filter responses. It can be connected to thePlotData
component.The
interp
option selects the function used to convert the series of response points to a continuous function, before calculating the filter coefficients. Seescipy.interpolate.interp1d
for more detail.Config
frequency
str
List of frequency values, in increasing order.
gain
str
List of corresponding gain values.
weight
str
List of corresponding weight values. Default is unity.
aperture
int
The number of filter coefficients.
interp
str
Interpolation function. Possible values:
'linear'
,'nearest'
,'zero'
,'slinear'
,'quadratic'
,'cubic'
direction
str
Direction of filter. Possible values: horizontal, vertical.
- outputs = ['filter', 'response']
Comments or questions? Please email jim@jim-easterbrook.me.uk.