Questions tagged [signal-analysis]
The signal-analysis tag has no usage guidance.
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26 views
What is next after a basic signal processing course?
Does anyone know what topics or subjects that I should learn after a basic signal processing? By basic, I mean that we are using the textbook by Oppenheim and Willsky.
In the course, we studied the ...
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0answers
18 views
How to get hilbert marginal spectrum by matlab code? [on hold]
I have a dataset matrix (8000*1) and have to get Marginal spectrum of hilbert . There is a code for this algorithm: https://ch.mathworks.com/matlabcentral/fileexchange/27531-marginal-hilbert-spectrum
...
1
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1answer
59 views
Can a Fourier Transform exist even if the j$\omega$ axis is not in the Region of Convergence in it's Laplace Transform
A couple of confusions have been occurred. The Signal I'm considering is f(t) = sin(t)*u(t)
Fourier Transform of it can be derived.
$-i \pi (\delta (\omega -1)-\delta (\omega +1))$
According to my ...
1
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0answers
14 views
How to envelope a non periodic Impulse signal?
I want to analyse a trc oscilloscope file, find impulses and envelope them. In the end I want to plot the envelope.
data file (trc): https://ufile.io/z4m4d
Code: (Python)
...
-1
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1answer
15 views
When does a color channel such as RGB carry more info than a grayscale channel or image?
Typically a gray-scale image gives us more information about an image in terms of a signal processing problem. But when does a color channel carry more info than a gray-scale channel?
I understand ...
0
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1answer
26 views
EEG Sampling, Which Order should cover my result?
I have EEG data sampling rate is 250 Hz and I want to band pass this data in ( 0.5-3 Hz & 3-8 Hz & 8-13 Hz & 13-30 Hz & 30-40 Hz).
Currently, the data is in the frequency range of ...
0
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1answer
26 views
What's the point of using Morphological processing concerning images?
I dig deeper in internet to figure out what's the point of morphological processing on images, but i'd rather to hear the answer from people with experience, can you give me a hand with this? Thank ...
0
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1answer
34 views
Are resolution increase and noise reduction from oversampling mutually exclusive?
Oversampling a signal means sampling it with a higher sampling frequency than the Nyquist frequency. As far as I know, there are three advantages:
Easier design of anti alias filter
Increase in ...
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0answers
44 views
Signal analysis
Need help with signal analysis. I have signal:
And now I should to calculate an, bn, Cn with different n (n = 1,2,3...). I know all formulas, but when I tried calculate, I always gets the same Cn. ...
-1
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0answers
18 views
How can I select 13 MFCC coefficients?
I have used a build in MFCC algorithm to extract the features from speech signal . According to the MFCC Algo setting, 13 coefficients have to return. Each time i got 13 * n dimension matrix in return ...
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0answers
14 views
Determine the onset’s in an audio file
I want to determine the onset’s in my audio file which means determine all the frequencies and the corresponding notes present in my audio file. Please help me with an approach in python to achieve ...
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0answers
30 views
Are there existing algorithms to detect reverb in a voice recording?
I want to be able to detect if a spoken voice recording happened in a room with a lot of reverb or not. I don't need to be able to extract the exact reverb profile of the room. Ideally the algorithm I ...
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0answers
14 views
inaudible part of signal in MFC transform
MFC transform eventually captures a good portion of the humanly intelligible part of audio signals. I was wondering at which steps of the transform is the inaudible part of the signal rejected? Is it ...
1
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1answer
34 views
Spectral averaging without phase information
In the context of signal averaging to reduce uncorrelated noise:
Is it possible to perform signal averaging from just the magnitude spectrum of certain signals? Or that would only work if we know ...
0
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1answer
17 views
Characterization of the amount of modulation in a signal
We have used the ICRA babble noise to generate an 8-talker babble. As a background - babble noise is used as a substitute for competing talkers as babble noise lacks lexical content, but contains the ...
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0answers
16 views
Audio signal for each video frame
I have an mp4 video. Is there any way to extract the amplitudes of all the audio signals for each video frame in the available video?
That is, suppose there are 1000 audio samples corresponding to ...
0
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1answer
61 views
Figuring magnitude and phase response
I've got a linear time-invariant system $$y[n]=\frac{8}{9}y[n-1]+x[n]$$
which I transformed into a transfer function $$Y(z)=\frac{8}{9}Y(z)*z^{-1}+X(z) =>\frac{Y(z)}{X(z)}=\frac{1}{1-\frac{8}{9}*z^{...
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1answer
39 views
How to determine fundamental frequencies (beats/minute) of heartbeat? (matlab)
read = matfile('ECG.mat');
[cor, lags] = xcorr(read.ecg, read.ecg);
read.Fs;
So i have read.ecg (signal) and ...
3
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1answer
43 views
Compare two signals, find times when they are affected by the same processes
I have two (noisy) signals $S_1(t)$ and $S_2(t)$. They contain information on three distinct events occurring in a physical system. Event $A$ affects only $S_1(t)$, event $B$ affects both $S_1(t)$ and ...
0
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1answer
45 views
What is the difference between Spectrogram and Scalogram?
Could someone please explain the difference between the two?
Spectrogram:
A visual representation of the spectrum of a sound changing through time.
Scalogram:
(signal processing) A visual ...
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0answers
21 views
Signal Segmentation
I have a 'theoretically' periodic signal representing measured velocity:
In order to average this velocity signal I need to segment my sequence into differents periods like this:
The problem is ...
2
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1answer
60 views
Denoising a signal using eigendecomposition
I have a complex observable series $Y(t)$ which is the result of summing two complex r.v $X(t)$ (unobservable) and a $\epsilon(t)$ (unobservable).
$$Y(t)=X(t)+\epsilon(t)$$
Assume that $X$ and $\...
0
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1answer
17 views
How to compute the channel gain from the path loss model of a wireless channel
I did my research but I did not get a satisfying answer.
We have a transmitter and a receiver over a wireless communication channel. The channel's path loss is modeled as
$ 128 + 37 \log_{10} (d)$, ...
0
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1answer
42 views
How to find the coefficients of the following differential equation
An arbitrary signal $v(t)$ pass through the following system,
$w'(t) + 5 w(t) = v'''(t) + 320v''(t) + 40 v' (t) + 40v(t)$
How to determine the coefficients of the following differential equation, ...
2
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1answer
56 views
Linear Predictive Coding for general signals
I have a signal that's monotonic and roughly linear and have been looking at using Linear Predictive Coding to encode information and compress my signal. I guess my first general question is if this ...
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0answers
32 views
Calculation expected value of an output signal
I am trying to understand statistical channel functions. I have some doubts.
One of them is:
let's assume that a channel is characterised by $$h(\tau, t)$$ The output signal is $$y(t)=x(t)*h(\tau, t)...
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0answers
13 views
How does Praat perform framing of signals?
I am new to Praat and I am trying to find the intensity of a .wav file. When I try to create an intensity object the popup window asks for the minimum pitch and time step. The praat documentation ...
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1answer
19 views
I’m asking about how to know signal is even or odd??? And I want to know how to understand and analysis conveltion signal [closed]
Even and odd signals , and impulse testing like convolution signals
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2answers
41 views
Accurate description of the spectrum of sinusoid waveform added with WGN?
The transmitting signal is
$$
s(t) = \sin(20\pi t)+\sin(40\pi t)+\sin(60\pi t)
$$
The received signal after AWGN channel is
$$
r(t) = s(t)+n(t)
$$
where the variance of noise $n(t)$ is $\sigma^2$.
...
1
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0answers
37 views
Frequency bins too powerful at the start and at the end of each sample computed DFT data
I've taken the following link http://coding-geek.com/how-shazam-works/#comments as a project to start practising and learning signal processing and python programming for me to get started in speech ...
4
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3answers
242 views
Is Linear Prediction ever exact?
I'm just learning about linear prediction and was wondering whether or not there are any signals that would produce no error if run through a linear prediction algorithm. I was thinking (maybe naively)...
2
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0answers
26 views
FFT Service on AWS? [closed]
Hopefully this is the right forum to post this question. Initially posted to Meta. My mistake. Learned the hard way via downvoting.
I searched AWS and Microsoft cognitive services for an FFT web ...
1
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1answer
33 views
make a voice sound signal play faster
Suppose $x(t)$ is a signal containing a voice. How can one derive a signal playing the same voice faster.
I tried $x(t+\lfloor{100t\rfloor}/100)$ to double the speed; But it adds a buzz sound. Is ...
1
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1answer
49 views
GPS Coarse Acquisition PRN Codes
Are the actual 1023 bit sequences for each of the 32 GPS satellites available to consumers? I found the IS GPS 200 but it doesn't list the entire sequences. Are verified sequences available for ...
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0answers
42 views
How to estimate noise by eigendecomposition of the variance covariance matrix?
I'm new here so I will try to be as clear as possible.
I am trying to apply some techniques from signal processing framework to denoise financial time series.
I would like to know if what I am ...
1
vote
1answer
310 views
Practical book in C [duplicate]
Is there any practical “go to” book that demonstrates the main dsp methods for time series written in C for practical applications? (Doesn’t have to be for hardware, but for any raw data such as ...
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1answer
45 views
Signal reconstruction from sampled signal? [closed]
Can we construct exact analog signal at receiver as same as the source from the sampled signal?
0
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1answer
31 views
Implementing real-time signal processing filters
I’m currently working on my capstone for school, and I’m looking for some guidance/tips when it comes to real-time filtering. The nature of the project is to monitor breathing patterns, send the ...
0
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1answer
40 views
Signals and Systems - LTI - Transforms - Impulse Response
I have $x(t)-> LTI -> y(t)$ where $LTI=h(t),H(jw)$.
and
$H(jw)=ab/((a+jw)(b+jw))$ where a and B are real numbers.
I am wanting to find the impulse response $h(t)$ as well as the input/...
0
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1answer
31 views
Find identical audio signal
I have a long audio file (in wav) and a short audio file (in wav) that has been copied from the long file. Now I need to find the correct location where the short signal has been copied from. I tried ...
-2
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1answer
32 views
Frequency component not filtered properly
Are frequency components other than wanted signal present in the output? If yes then why does it not disturb the original signal? I think all practical filter responses are not ideal, so all frequency ...
0
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1answer
27 views
Real and Imaginary data from Network Analyzer
I’m having a hard time grasping what exactly ARE the real and imaginary numbers in my s-parameter data. Most of the time I just set the NA up in logmag/phase to find the loss though, say, a filter or ...
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0answers
38 views
Stability in evaluating real part of a Fourier transform
I posted this on maths stack exchange but realised it might be more appropriate here. So forgive the cross posting!
I have a signal $S$ and want to evaluate the magnitude of the real part of it as ...
0
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0answers
23 views
Estimating velocity using MEMS sensor (accelerometer part)
I wanted to know how I can estimate velocity of a particle (contained with a sensor) from the acceleration output of a MEMS sensor device in order to find the total kinetic energy of the particle?
...
1
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1answer
67 views
Finding audio “tics” in stereo wav files using python
I have thousands of audio files that I want to "batch" process searching for audio tics. This is easily done using a DAW but that requires opening each file independently, searching for the tic (...
0
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1answer
29 views
Equalization : using the spectral or the temporal signal?
I'm trying to equalize a sound signal - using a JAVA program - and I'm using this process :
1/ Conversion of the temporal signal to a spectral signal, using a FFT
2/ Applying a coefficient to each ...
1
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1answer
62 views
Damped sinusoidal form FFT of signal
I'm doing an assignment for the course Signal analysis where I have to analyse a signal. I've tried quite some things now but it's still bothering me that the FFT is looking weird, and not looks like ...
1
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1answer
32 views
Ways to parallelize Sifting in EMD (Empirical Mode Decomposition)
Sifting process, which is recursive in nature, is used in EMD (Empirical Mode Decomposition) to decompose the signal (x(t)) into Intrinsic Mode Functions (IMFs) and residue, which is a monotonic ...
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0answers
21 views
What is the signal-noise model of laser induced fluorescence?
The following image is an example of a fluorescence signal trace from the photomultiplier tube detector (PMT). Each spike represents one fluorescently labeled cell.
This signal model is definitely ...
0
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1answer
61 views
What's the difference between SISO and SIMO in using matched Filters
Suppose we are transmitting a signal $x$ in $OFDM$ with $N$ subcarriers, After performing Parallel/Serial conversion and then N-points
FFT, we suppose to have signal $s = IFFT^Hx$, Then adding the ...
