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Results tagged with window-functions
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user 923
In signal processing, a window function is a mathematical function that is zero-valued outside of some chosen interval.
1
vote
Accepted
PSD of a windowed signal
When you "window" a signal in the time domain you are multiplying a block of signal data, element by element, with the window's elements. This corresponds to convolution in the frequency domain.
Win …
- 12.2k
1
vote
Accepted
Hanning Window Formula - Matlab didn't work
You need to change "102" to "10".
x=.5-.5*cos(2*pi*t/10);
- 12.2k
5
votes
1
answer
656
views
Spectrum Analysis using Windowed FFTs
I have a couple of questions regarding windowed FFTs:
Why is the noise floor higher with windowed FFTs (according to Wikipedia's spectral leakage page, anyway), when the whole point of windowing is …
- 12.2k
5
votes
I need advice about how to make an audio frequency analyzer
As endolith said, you want to use log-scale bins. The easiest way to do that is to combine multiple bins at the higher frequencies. To do it right you need to add the energy in the different bins, n …
- 12.2k
0
votes
is there a mathematical relation between percent overlap and window length or amplitude
The amount of overlap and the window length are completely independent parameters, other than the fact that the window has to be longer than the amount of overlap of course. People often have the win …
- 12.2k
5
votes
Zero-pad before or after windowing for FFT
I would window and then zero-pad.
The purpose of the window is to smooth out the boundary transitions. When you zero-pad you are introducing a very abrubt transition at the zero-pad point which, if …
- 12.2k
4
votes
Effect of Windowing Function on Autocorrelation Function
When you are using the FFT to get a measurement of the frequency content of a signal it is appropriate to window the data first to avoid distortions due to a rectangular cutoff.
That is not what you …
- 12.2k
4
votes
How to apply Hamming Window?
The window length should be equal to your transform length, not necessarily the length of your entire data set. The two are the same, of course, if you are going to transform the entire data set at o …
- 12.2k