New answers tagged

0

The filter is optimized to suppress signal components in the frequency ranges where the side lobes are low. The high side lobes in are just a consequence of optimizing the stopband suppression in those other frequency bands, where aliasing components are expected. The regions with high side lobes are basically "don't care" regions. If you wanted to increase ...


0

You can't, at least not strictly. Low pass filters with an all positive impulse response will always have a very wide transition band. However, if you want to do audio envelope detection both Hilbert Transform and low pass filters are the wrong tools for the job: Hilbert Transformers don't work well on broad band signals and low pass filters mess up your ...


2

did i make some mistake ? Yes. The cutoff frequency is specified relative to the Nyquist Frequency and not the sample rate From the documentation Wn must be 0.0 < Wn < 1.0, with 1.0 corresponding to half the sample rate. Also: you design a 10th order butterworth and filtfilt() doubles that again to 20. That will give you significant domain "...


0

HPF or LPF linear operators. It means that an operation at pixel position i, j will only be affected by neighbors within the window size of your filter. Pixels outside the filter will not play a role - in other words, the effects of any filtering operation is localized around its support. Typically, if the image size post filtering is not a concern, we 0 pad ...


Top 50 recent answers are included