Linked Questions

2 votes
1 answer
1k views

Envelope by using Hilbert not working in python [duplicate]

I'm trying to obtain the envelope of an audio signal by using the Hilbert method. My code generates the analytical signal in the same way as scipy.signal Hilbert() function does (I basically copied ...
nanocat's user avatar
  • 23
23 votes
2 answers
13k views

Synchrosqueezing Wavelet Transform explanation?

How does Synchrosqueezing Wavelet Transform work, intuitively? What does the "synchrosqueezed" part do, and how is it different from simply the (continuous) Wavelet Transform?
OverLordGoldDragon's user avatar
12 votes
3 answers
3k views

What information does the Hilbert transform give?

The Hilbert transform of a function is defined as : $$\mathscr{H}\big\{f(t)\big\} = \lim_{T\rightarrow \infty}\frac{1}{\pi}\int\limits_{-T/2}^{T/2}\frac{f(\tau)}{t-\tau}\, \mathrm{d}\tau$$ Okay but ...
Volpina's user avatar
  • 305
4 votes
1 answer
2k views

How to find the envelope of a wide-band signal?

I would like some feedback on possible techniques that one may use to determine the envelope of a broad-band time domain signal. I have heard anecdotally, that it is not as straight-forward as it ...
Spacey's user avatar
  • 9,897
4 votes
1 answer
2k views

Conditions for which the Hilbert transform returns a correct phase

I'm quite new to signal analysis, and I'm currently trying to understand under which conditions a Hilbert transform can be used to compute the correct instantaneous phase and enveloppe of a given ...
Colas's user avatar
  • 43
3 votes
1 answer
2k views

Envelope detection using hilbert transform

I have a sine wave of frequency 1kHz sampled at 16kHz. I need to find the envelope of this signal using hilbert transform in MATLAB.I have used the inbuilt function abs(hilbert(input_signal)) and got ...
Aami's user avatar
  • 325
3 votes
2 answers
1k views

Amplitude extraction using STFT

I'm trying to recover amplitude/magnitude from an audio stream. I'm using FFT to go from time domain to frequency. If I feed in a signal of known amplitude, the results I get from either windowing or ...
dizzy's user avatar
  • 253
3 votes
5 answers
2k views

How to calculate the instantaneous frequency of a signal?

I am trying to do the complex trace analysis of a seismic trace in Matlab where I need to calculate the instantaneous frequency of a discrete signal. I have used the formula according to Barnes. I am ...
user1963893's user avatar
2 votes
2 answers
1k views

Wigner-Ville Distribution (WVD) vs STFT for Spectral Analysis

What are the Pros and Cons of using Wigner-Ville Distribution for spectral analysis of a signal vs taking the STFT. When is it appropriate to use one over the other and is WVD used in real-time ...
malik12's user avatar
  • 500
4 votes
1 answer
465 views

Unwanted periodicity in data

my signal consists of data points that represent the (vibration signal) energy measured during process cycles of a machine. Due to the hydraulic power units emptying and filling again, some ...
derkurt's user avatar
  • 43
1 vote
3 answers
549 views

Increasing STFT resolution by repeating the window? Ways to improve STFT resolution?

In theory of FT(Fourier transform) and STFT(Short Time Fourier Transform) it is said that "A narrower window gives good ...
google dev's user avatar
3 votes
3 answers
609 views

Effect of overlapping percentage on STFT output

I know STFT is generally applied to non-stationary signals but I tried to apply it to a stationary signal to get a working knowledge. I created a stationary signal composed of three frequencies as ...
Lobster3221's user avatar
2 votes
2 answers
716 views

The uncertainty principle - Why does it imply that we can't localise

The uncertainty principle states that if you have a signal which is very concentrated in time, then its Fourier transform will be rather outspread and vice versa. However, I don't really understand ...
Richard's user avatar
  • 129
3 votes
2 answers
272 views

Inverse of wavelet transform modulus gives poor results

I just want to understand, why is the result of my wavelet(?) transform so bad. For $0\le i< k$, where I set $k$ to $10$, I split the signal in blocks of length $s_i:=2^{i+2}$, overlapping by $s/2$...
fweth's user avatar
  • 151
2 votes
1 answer
281 views

Conditions for analytical signal reconstruction with the Hilbert Transform (HT)

I'm new to the Hilbert Transform, I was reading the paper: "SISAR Imaging - Radio Holography Signal Reconstruction Based on Receiver-Transmitter Motion", and the next sentence was written in the paper:...
DaDSPGuy's user avatar
  • 182

15 30 50 per page