The signal-analysis tag has no usage guidance.
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1answer
251 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
29 views
Signal reconstruction from sampled signal?
Can we construct exact analog signal at receiver as same as source from the sampled signal????
0
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1answer
22 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 ...
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0answers
20 views
How to use signal.lfilter?
I am processing EEG data(.tdsm) and i tried to implement the Ellipitic filter. But I can't manage to pass the signal through signal.lfilter, the end result doesnt seem correct because only the ...
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1answer
32 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/...
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1answer
25 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 ...
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1answer
25 views
Frequency component not filtered properly
Does frequency component other than wanted signal present in output if yes than why it not disturb original signal??? I think all practical filter response are not ideal so all frequency component ...
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1answer
17 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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32 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 ...
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1answer
14 views
How can i see time trajectory of a complex signal? [closed]
I want to see trajectory of single- sideband signal in complex plane using Matlab.
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0answers
19 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?
...
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1answer
52 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 (...
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1answer
27 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 ...
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0answers
35 views
ELF / Audible Sound / Powerline Interference
I’ve been recording ELF/EMF frequencies for a little while now, I’ve started encountering a strange amount of audible additions to the RAW files. I record at 125kHz Full Quadrature.
I’ve been using ...
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1answer
55 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
28 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
20 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 ...
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1answer
50 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 ...
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0answers
34 views
bandwidth of a signal
I have a signal $s(t)$, the bandwith is $B$. I'm doing the fourier transform $S(\nu)$ and I'm adding zeros to the spectrum. I get a new signal $u(t)$
Is the bandwith of the signal $u(t)$ equal to ...
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1answer
34 views
Why are binary signals drawn continuous in time despite being a digital signal
The conventional definiton of a Digital signal is as follows:
A digital signal is a signal that is discrete in time and quantized in amplitude. Almost all resources (textbooks, online sources,etc) ...
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1answer
42 views
MMSE of X given PDF
"Suppose RVs $X$ and $Y$ with probability distribution functions $F_X$, $F_Y$, and $F_{XY}$. Find a linear estimate $\hat{x}$ of $X$ by the observed $Y$ such that $\hat{x}$ correspond to the minimum ...
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1answer
36 views
Why do we need the power spectral density?
Since the power spectral density is just the squared of the fourier transform, why is it useful ? Can't I just replace every solution that requires the psd with the fourier transform ?
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1answer
28 views
Why must the Region Of Convergence (ROC) contain infinity and the system function be a right-sided sequence for it to be causal?
I need the simple logic on the condition a system becomes causal. We know that causal contains only past values. I can't relate this with the Region Of Convergence (ROC) concept.
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3answers
54 views
Significance of Sinusoidal signals
Can anyone tell what are the significance of sinusoidal signals in the field of science and engineering?
sorry for being noob,
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0answers
25 views
Autoregressive sequence mean and variance
I have proven that the given sequence can be written as per the hint and I have found the mean to be zero as the mean would be:
$E(a^k) \cdot E(U[n-k])$ , where the mean of $U$ is zero as given.
I ...
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2answers
64 views
GPS CA Signal Acquisition
The coarse acquisition C/A GPS signal has a symbol rate or chip rate of 1.023 Mcps with code period of 1 ms. The code bandwidth is +/-1.023MHz (to 1st sinc nulls). I'd like to record this signal using ...
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2answers
64 views
Simple way to determine square-ness of signal?
Not entirely sure if my term is correct. Feel free to edit title.
I have a lot of time series, where the data quality is determined by how linear each sub-sequence is. It doesn't matter if it jumps ...
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0answers
40 views
ESPRIT signal subspace and rotational invariance
so in ESPRIT[1,2] we have some signal of the form:
$$y[n] = \sum_{k=1}^{K} a_i(k) e^{j\omega_k n} + N[n]$$
where N is noise, then we get the autocovariance matrix
$$R_{yy}=E[y[n]y[n]^*]$$
take the ...
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0answers
23 views
Audio analysis Implementation [closed]
I am supposed to implement some analyses for the customer including NB, WB, Time Domain etc. This is in the audio signal processing domain. The scope of work also includes "Audio Analysis". Can ...
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4answers
75 views
Difference Between Dirac delta and unit impulse function
The definition of Dirac delta function states that it gives a value of $\infty$ at t=0 and 0 elsewhere.
But, the definition of unit impulse function states that it gives a value of 1 at t=0 and 0 ...
1
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1answer
27 views
Break a signal into segments, add them together and then perform an FFT on the result
If you break a 4 second signal into 0.5 second segments, add them together and then perform an FFT on the resultant 0.5 second data.
Will the FFT / frequency spectrum be the simlar to an FFT on the ...
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0answers
29 views
How to visualize the autocorrelation matrix and it's properties
Having a hard time wrapping my head around autocorrelation matrix as it applies to a spectral estimation problem like MUSIC or ESPRIT. If the signal vector contains a summation of sinusoids in noise, ...
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0answers
21 views
Understanding wavelets via 1-D PyWavelet example
I have been reading about wavelets for few weeks now and I have bumped into subjects like scaling functions, wavelet functions, filter banks and multiresolution analysis. Despite reading and getting ...
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1answer
35 views
classify the system if it's linear , non-linear , time variants or invariants [closed]
classify the system if it's linear , non-linear , time variants or invariants
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50 views
What does the output of a DFT really mean?
I've computed the DFT twice on the function:
$$
f(t) = 2 + 2\cos(2\pi t) + 2\cos(4\pi t)
$$
Once between $t=0\to 3/4$, hence taking 4 readings, and once between $t=0\to 15/16$. The first plot has ...
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0answers
29 views
What is Signal Detection Theory (SDT)? How to use it?
I would like to autonomously detect the present of a signal. For example, a receiver has to detect the present of a signal (e.g. ping) in an environment. Usually, for detection a threshold must be ...
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3answers
48 views
Intuitively, what is fourier series representation of a signal? Also intuitively what is frequency response? [duplicate]
I know these formulae and can solve problems mechanically but i never got the core concept. Please help me out with this.
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1answer
100 views
Generalized translation on graph
David I.Shuman in "vertex-frequency analysis on graph" claims that,"we generalize one of the most important signal processing tools – windowed Fourier analysis – to the graph setting and When we apply ...
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1answer
24 views
Negative exponential signal's energy and power
Earlier I have dealt with exponential functions multiplied with unit step function. But, energy and power of exponential function alone comes out to be infinite when I put limits of the integrals to ...
2
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4answers
66 views
Baby Cry recognition robust against the distance [closed]
I am building a baby cry detection system using deep learning algorithm, Raspberry Pi and a microphone as the sound sensor.
When the baby starts crying then the system should detect the cry. It is ...
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0answers
22 views
What are the best resources to learn feature extraction and classification of signal?
First of all, forgive me if I am posting anything wrong; I am new here.
I need to learn signal processing like feature extraction and classification for my final year thesis. I asked some persons and ...
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2answers
72 views
How do I find the fundamental period of the given signal?
I am having a problem in finding the fundamental period of the signal $x(t)$ given below:
\begin{align}
x(t) &= 2\cos\left(\frac 45 \pi t\right)\sin^2\left(\frac{16}{3} t\right)\\
&= 2\cos\...
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3answers
56 views
How do I know if the given signal is discrete?
If I am given an expression of a signal then how do I know if it is a discrete signal or not?
If this signal is given how do I know if it's a discrete or continuous?
$$x(n) = e^{j (n \pi/2 + \pi/8) ...
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0answers
33 views
MATLAB reduction of trends in xyz-data
I have a lot of xyz-data arrays of the size 121 x 161. This is one example:
So, I need to calculate means and trends. I am new to Matlab, so I tried to import the data via:
...
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1answer
46 views
Question about Fourier descriptor and the physical meaning of the coefficients
I would have some questions about the Fourier descriptor and the physical interpretation of the individual coefficients. I'm rather new to this concept, so I would be looking for a simple answer.
To ...
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2answers
115 views
How to calculate the Fourier transform of absolute-valued sinusoid?
The signal $x(t) = |1+a\sin(\omega t)|,(a>0)$ is a continuous waveform. In order to extract the frequency parameter $\omega$, I conduct the FFT of it and obtain its spectrum showed as follows. The ...
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0answers
23 views
How can we determine the channel impulse response using correlation process from the spectrum of the signal?
I am sending the pulsed signal from the transmitter antenna, and at the receiver side, I captured the received signal in the time domain, and also in the spectrum of the signal. How can I get the ...
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0answers
22 views
Ensemble Empirical Mode Decomposition and significant or relevant components
Regarding EEMD analysis, my query is how do we go about choosing the IMFs and residual for aggregation step? I know it depends on signal components having highest powers (more significant components)....
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1answer
49 views
Is there a way to obtain the transfer function from a bode plot on Python? (I know that it is possible on Matlab)
Quite simply, I have a bode plot obtained from a source signal.
Now I wish to obtain the transfer function.
I know it is possible with Matlab: http://www.mathworks.com/help/ident/examples/frequency-...
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1answer
16 views
Is it possible to classify biosignal data based on feature extraction through multiple linear regression model? [closed]
i have 16 channel 2 class motor imaginary right hand ,right leg data.IS it possible to classify this through multiple linear regression model based on feature extraction?can i classify 3 class data ...
