Top new questions this week:
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This is a follow up to this question.
I've approximated the transfer function for a system to be H = zpk([0.012 -1.05 18],[-0.22 -0.22 -45 -1000],10000);. My goal ...
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Trying to implement the WDF in Fig 5(a) of this publication. The response of the ideal op-amp implementation is given by the black curve in Fig 7:
Here is the plot I get when trying to implement the ...
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I understand that in SDR, after the ADC the signal processing is fundamentally based on I/Q modulated waves where any discrete value that can be transmitted corresponds to a symbol which is ...
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I was looking for a straightforward proof for Bedrosian's theorem which says the Hilbert transform of the baseband signal times the passband signal is the original baseband signal times the Hilbert ...
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Can someone help with clarifying the difference between two approaches
to frequency domain "deconvolution:
For the frequency domain problem:
We want to find a filter $F(\omega)$ which will ...
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migrated from math-se...
I am trying to calculate , or approximate the solution of following Fourier-sine transform problem that can be expressed as a contributions of periodic sources $f_i(x)$ and ...
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For those who work often on image processing, I'm facing an algorithm of Non-Uniformity Correction (NUC) that requires the calculation of a parameter called "Local Spatial Variance". I can't ...
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Greatest hits from previous weeks:
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I have some basic understanding of signals and convolution. As far as I know it shows the similarities of two signals. Could I get some explanation in plain English of:
what are the linear and ...
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Could you please clearly explain what is the difference between correlation and convolution that is done by a filter on an image?
I mean in terms of signal processing definition I know that ...
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I want to use a low pass Butterworth filter on my data but on applying the filter I don't get the intended signal. Here is the dummy code:
Signal A:
...
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The Kalman filter algorithm works as follows
Initialize $ \hat{\textbf{x}}_{0|0}$ and $\textbf{P}_{0|0}$.
At each iteration $k=1,\dots,n$
Predict
Predicted (a priori) state estimate ...
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I've implemented a gaussian blur fragment shader in GLSL. I understand the main concepts behind all of it: convolution, separation of x and y using linearity, multiple passes to increase radius...
I ...
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If you do an FFT plot of a simple signal, like:
t = 0:0.01:1 ;
N = max(size(t));
x = 1 + sin( 2*pi*t ) ;
y = abs( fft( x ) ) ;
stem( N*t, y )
1Hz sinusoid + DC
...
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How do I calculate the maximum signal to noise ratio (PSNR) in Python? Is there any library that can calculate PSNR for Image?
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Can you answer these questions?
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there is an expression shown bellow that we need to plot in 2D grid plot as shown bellow.
X and Y are 2D matrices going from -0.5 to 0.5
the Code uses an FFT function FFT takes as input the func_in ...
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Let function $f$ be even and continuous on the unit sphere $S^n$. Let $R$-be a spherical Radon transform.
There is a known property:
$R(f^n)=f$ whenever $f$=constant.
What would this property mean in ...
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I’m stuck on this demonstration.
It says:
If $x'$ is held constant, $dx=dy$
How can $x’$ be constant? Shouldn't $x’$ be a variable?
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