13
votes
What is the name of a low-pass filter that tracks rate of change?
I was able to remember how the filter works. The idea is very simple, a second low-pass filter tracks the steady-state error in the result of the first one, and it is then added to the output:
Based ...
6
votes
What is the name of a low-pass filter that tracks rate of change?
I do not think that there's a specific name for this type of lowpass filter. There are indeed similarities between the cascade of two lowpass filters as suggested in the OP's answer, and a combination ...
5
votes
Accepted
removing spikes from spectrum
These spikes look like harmonics of some sort of line noise at $250 \texttt{MHz}$. To get rid of these, what you need is a comb notch filter.
There are a few ways to build one.
If the fundamental (...
4
votes
Accepted
Unexpected frequency components after applying bandpass filter in python
When you "turn on" filtering at time zero, the filtered output starts with a transient
plt.figure('signal filtered')
plt.plot(t, samples_filt)
To make ...
4
votes
Why does convolution give the output of a passing a signal through a filter?
You can describe the system with an operator acting over an input $x(t)$ transforming it into $z(t)$. If $L$ is the operator, $z(t)=L[x(t)]$.
Remember that the system and the operator are linear and ...
3
votes
Accepted
What is the difference between STFT and Gabor filter?
The Gabor transform is just a special case of the STFT, the main difference is, like you said, the Gaussian window.
One characteristics of window functions is that they are $0$ outside a specific ...
2
votes
Accepted
Modeling an Acoustic Reflection from a Wall - a Paradox?
It seems that either the assumption of constant time delay across the frequency spectrum must be wrong then?
It's indeed a wrong assumption. Physical systems are causal and zero-phase doesn't exist ...
2
votes
Accepted
Change filter frequency sample by its coefficients
can they be scaled of calculated for another frequency sample?
There is no one-size-fits-all method to do this. In your example, the frequency response is defined from 0 to 24 kHz (half the sampling ...
1
vote
Accepted
Why does convolution give the output of a passing a signal through a filter?
The convolution operation essentially computes a weighted sum of the input signal's values, with the weights determined by the filter. This process allows filters to capture patterns, features, or ...
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