B.S. and M.S. in Electrical and Electronics Engineering, Ph.D. in Biomedical Engineering. Biomedical signal analysis, machine learning and image processing are the main interests.

Hİ, Even if it is fixed, you apply in on sub-bands (there could be coefficients exceeding threshold or not). Coefficients are found for each level of tree, hence...
Hi,You know in Continuous wavelet Transform, you scale wavelets. In decimated discrete wavelet transforms, after each filtering you downsample the signal by 2 factor...

Re: Moving Average Filter's Magnitude Response

Reply posted 2 months ago (07/28/2020)
I'm glad that it helped.. Different libraries in a computing environment may provide same functionality sometimes, and you may also derive simple coefficients yourself...

Re: Moving Average Filter's Magnitude Response

Reply posted 2 months ago (07/27/2020)
Also you seem to get frequency response for output signal (fvtool(movAvgOut)), not filter response  (MovAvg)

Re: Moving Average Filter's Magnitude Response

Reply posted 2 months ago (07/27/2020)
Hi,This is simple filter with window length of 5 (coefs 0.2). I got this using Python;  import numpy as npfrom scipy import signalimport matplotlib.pyplot as pltb...
Hi,I noticed that you use extremely high sampling frequency of 937kHz, while the EEG signal frequency content is below 100 Hz. Is it 937 Hz, is there a typo? Practically,...

Re: Generate a signal with linearly increasing Bandwidth

Reply posted 6 months ago (03/30/2020)
Can you check this

Re: Generate a signal with linearly increasing Bandwidth

Reply posted 6 months ago (03/30/2020)
or addding segments of gaussian white noises filtered with changing band pass filters could be tried also. You may check this.

Re: Generate a signal with linearly increasing Bandwidth

Reply posted 6 months ago (03/30/2020)
Hi, A simple way is to use multiple chirp generators. YOu can control the bandwidth with the "boundary" chirps and also can add chirps in between these two. YOu...

Re: Auto-Correlation based Carrier Frequency Recovery

Reply posted 7 months ago (02/29/2020)
Hi, Maybe filtering the signal for the strong tones before your algorithm could work ?

Re: Matlab Loop Construction ?

Reply posted 7 months ago (02/14/2020)
Hi RichardI am happy that I was helpful, although a bit late :) Omer

Re: Matlab Loop Construction ?

Reply posted 7 months ago (02/14/2020)
Hi,Actually I have always used Wavelet analysis for "off-line" analysis. Also the formulation of wavelet analysis somewhat requires whole data, think about the scaled...

Re: ADC and Complex Mixer Nyquist question

Reply posted 11 months ago (11/08/2019)
Hi Rick,Sorry, of course your Xc(m) is negative shift by fc (I stated sinosoids but missed total signal xc(t)-Xc(m)) My point was that as you have stated X(m)...

Re: ADC and Complex Mixer Nyquist question

Reply posted 11 months ago (11/07/2019)
Hi sachinwannabe,Assuming communications signal (?), I want to remind , a baseband signal of interest with a much low frequency content (Bandwidth) -compared to...

Re: ADC and Complex Mixer Nyquist question

Reply posted 11 months ago (11/07/2019)
Hi Rick,You say "Sequence xc(n) can have independent spectral components anywhere in the one GHz range of -0.5 Ghz -to- +0.5 Ghz.". Since we shift the spectrum to...

Re: Extract pitch of irregular signal ?

Reply posted 11 months ago (11/03/2019)
If you look at the tunelabguy's plots above, he confirms indeed fundamental frequency around 190 Hz and its 9 harmonics. YOur plot is also in this way, confirming...

Re: Extract pitch of irregular signal ?

Reply posted 11 months ago (11/03/2019)
Your plot also reflects peaks at harmonics of ~185 Hz.  380 Hz is one of them. (Fs=44100 Hz, good enough for resolution - not a reflection case here)

Re: Extract pitch of irregular signal ?

Reply posted 11 months ago (11/02/2019)
This is also a very nice approach, eliminating noise. I also found (also in this thread a sent) 380 Hz but there is a previous peak at 185-190 Hz. That is the desired...

Re: Extract pitch of irregular signal ?

Reply posted 11 months ago (11/02/2019)
I used autocorrelation (in Pyton, used librosa library) with the restriction that 120-240 Hz is the range for pitch find range.  import numpy, scipy, matplotlib.pyplot...

Re: Extract pitch of irregular signal ?

Reply posted 11 months ago (11/02/2019)
For human sound analysis, there are a lot of algorithms based on autocorrelation or frequency spectrum for "pitch estimation". spectrum.jpeg Looking at spectrum,...

Re: New IEEE Signal Processing Society Journal

Reply posted 11 months ago (10/31/2019)
:))

Re: A question regarding MATLAB's 'invfreqz()' command

Reply posted 11 months ago (10/23/2019)
You are right Rick ,   b = [1 0 0 0 -1]  a = [1 -0.9]  freqz_points = 512  [h, w] = freqz(b, a, freqz_points);  [imp,t] = impz(b,a);  h(1) = sum(imp)  b_Order...

Re: A question regarding MATLAB's 'invfreqz()' command

Reply posted 11 months ago (10/22/2019)
Hi Mr Lyons,First value of h is NaN as I have checked. Maybe that is the reason?Edit: (As noted by anamariatome also, that is the problem indeed, pole at z=1(f=0) causing...
Yes, it was big news indeed. Engineers solve 50-year-old puzzle in signal processingan interesting comment".. The authors are applying for an international patent...

Re: Octave code

Reply posted 11 months ago (10/12/2019)
...
Hi,you may check this book;Noise Reduction in Speech Applicationshttps://www.cin.ufpe.br/~hama/Arquivos/Noise%20Reduction%20in%20Speech%20Applications.pdfa python...
I think this is more like a 'pattern search-matching. Once match is found, delay is to be computed.Edit: I meant of course stretching-shortening signal of interest,...
I also thought that but the signal to be searched has to satisfy wavelet criterion to be used in a wavelet analysis as a 'wavelet'. If he can find a similar wavelet...
very wise solution 
Hi,If I were to do that, I would first check in time domain the similarities-differences of the impulse responses. Then in frequency domain, I would check differences...

Re: Fixed Point Library for Python

Reply posted 1 year ago (06/11/2019)
Hi,I use Python actively (forgetting even Matlab:) and found numpy/scipy libraries very decent and sufficient. Some info is here especially for DSP; https://docs.scipy.org/doc/scipy/reference/signal....Your...

Re: Estimating SNR in the Frequency Domain

Reply posted 2 years ago (03/22/2019)
Hi,Your updated version seems to calculate SNRs, I tried different f0 values. What was particular combination of parameters?

Re: Estimating SNR in the Frequency Domain

Reply posted 2 years ago (03/22/2019)
Hi, actually taking square values of the spectrum (sig_r_spectrum  = (sig_r_dft(1:NFFT/2)).^2)  is needed for finding powers, and multiplication by two is for...

Re: Auto Correlation in DSP processor

Reply posted 2 years ago (03/19/2019)
Hi,If you really need a real-time operation, you may try DSP processor based solution. But unless you need that, I suggest to use Octave/Matlab, Python based analysis/solutions,...

Re: Attn Linux Users: Check out Gambas

Reply posted 2 years ago (03/07/2019)
...

Re: Filter a rectified waveform?

Reply posted 2 years ago (03/01/2019)
HiStill you can apply rectify-Low pass filtering-ThresholdingYou may need to collect data to determine the threshold value. Also low pass filter cut off frequency...

Re: Matlab Loop Construction ?

Reply posted 2 years ago (02/28/2019)
Hi,Actually as fas as I have understood from your code, you are trying wavelet denoising, hence your question is related to the applicability of wavelet analysis...

Re: Filter a rectified waveform?

Reply posted 2 years ago (02/22/2019)
Hi,Actually it depends on noise type but first rectification and then applying low pass filter is better for thresholding purposes, as I have understood from your...

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