Linked Questions

16 votes
3 answers
21k views

How can I plot frequency vs magnitude of wavelet transform?

I am running Morlet continuous wavelet transform. I have got wscalogram of signal and now I want to plot freq-magnitude like the following picture., but I don't ...
SAH's user avatar
  • 1,307
17 votes
2 answers
2k views

DFT with geometrically-spaced bins?

The traditional Discrete Fourier Transform (DFT) and its cousin, the FFT, produce bins that are spaced equally. In other words, you get something like the first 10 hertz in the first bin, 10.1 through ...
Brannon's user avatar
  • 295
14 votes
3 answers
5k views

STFT and DWT (Wavelets)

STFT can be successfully used on sound data (with a .wav soundfile for example) in order to do some frequency-domain modifications (example : noise removal). With ...
Basj's user avatar
  • 1,267
10 votes
2 answers
2k views

Is a wavelet-based correlation measure worth any additional computational overhead?

I have used both correlation and coherence as measures of correlation between signals. I was thinking that a time-frequency approach would give me the best of these worlds. My question is whether ...
jonsca's user avatar
  • 1,964
7 votes
1 answer
2k views

Is it possible to do single vehicle tracking using Fourier transform?

I am working on a project in image processing which is based on importance of phase only reconstruction of a signal obtained using Fourier transform.For more information about phase only ...
sagar's user avatar
  • 549
3 votes
1 answer
2k views

Continuous Wavelet Transform time vector in python

I have a signal sampled at 128 Hz. I used to extract features with the spectrogram function and I decided to upgrade my algorithm and I'm trying to analyze it using Continuous Wavelet Transform (...
pyigal's user avatar
  • 131
1 vote
1 answer
2k views

Interpreting Coefficients from wavelet

The wavelet transform informs what all derived wavelets (from mother wavelets) with different scales at different point of time , are present (along with the associated strength) in my original ...
gpuguy's user avatar
  • 1,370
1 vote
1 answer
2k views

Using Discrete Wavelet Transform in the time-frequency domain

I am creating an application that works like the Shazam service. In short, my goal is to create an audio pattern matching service. However, I would like to use DWT and not the short time Fourier ...
rayman's user avatar
  • 11
3 votes
1 answer
2k views

Matlab stores all level of Wavelet's Approximation & Details in a single Row

I'd like to ask when we apply Wavelet transform on 1-D Signal in Matlab it simply stores both Approximations and Details into a single row which is quite annoying for me, have a look, Where, X = ...
Sufiyan Ghori's user avatar
3 votes
1 answer
320 views

Trying to understand WAVELET TRANSFORM Frequncy-Time diagram

I am reading The Wavelet Tutorial Part III MULTIRESOLUTION ANALYSIS & THE CONTINUOUS WAVELET TRANSFORM by Robi Polikar The author explains about the following fig and says; Note that ...
gpuguy's user avatar
  • 1,370
0 votes
4 answers
463 views

what is the relationship between a spectrogram and the uncertainty principle heisenberg? [closed]

what is the relationship between these two things Perhaps more resolution in a spectrogram is equivalent to knowing more the position of the electron and less resolution is knowing the velocity of the ...
user94388's user avatar