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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 ...
jpa's user avatar
  • 673
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 ...
Matt L.'s user avatar
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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 (...
Jdip's user avatar
  • 4,706
4 votes
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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 ...
V.V.T's user avatar
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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 ...
Andy R's user avatar
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3 votes
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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 ...
Jdip's user avatar
  • 4,706
2 votes
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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 ...
Hilmar's user avatar
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2 votes
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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 ...
Hilmar's user avatar
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1 vote
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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 ...
Ahsan Yousaf's user avatar
  • 1,121

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