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Questions tagged [distance-metrics]

0 votes
0 answers
34 views

What are the theoretical and practical utilities of signals that are invariant under the Fractional Discrete Fourier Transform (FrDFT), including approximate invariance in real-world scenarios? How ...
ABB's user avatar
  • 439
0 votes
1 answer
46 views

I'm interested in understanding the prevalence of single-bit shift errors—situations where a bit moves to an adjacent position without any insertion or deletion of bits—in practical systems. For ...
Dang Dang's user avatar
0 votes
1 answer
62 views

In one answer on DSP Stack Exchange, the following expression was used to derive the minimum distance between symbols for quadratic constellations (i.e., when the number of bits per symbol $k$ is even)...
Dang Dang's user avatar
1 vote
0 answers
118 views

I asked a question in SO regarding what kind data I should pass to the wasserstein_distance function from the scipy module. The documentation says that the input data are "Values observed in the (...
HappyPy's user avatar
  • 133
1 vote
0 answers
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I´m reading a paper on Miller codes and I´m having trouble calculating the minimum distance out of a state diagram. The paper states in Fig. 3. that "it is easy to verify that dmin for these ...
Elias4l's user avatar
  • 25
1 vote
0 answers
41 views

I am trying to evaluate several methods to compress some 2D data points. The algorithm itself is not relevant, but from the output, I can compute the MSE and the number of points (which can be used to ...
mariolpantunes's user avatar
3 votes
1 answer
964 views

The following is a problem of "Digital image processing" book. Consider two points $p$ and $q$. State the condition(s) under which the $D_4$ distance between $p$ and $q$ is equal to the ...
user153245's user avatar
0 votes
1 answer
185 views

I've been assigned to solve a problem for 32QAM signals. The thing is, there are little to none sources in my native language to get any decent information on the topic. The problem is (in its ...
MaxelRus's user avatar
  • 103
3 votes
1 answer
1k views

I would like to compare 2 generic images, with same sizes and normalized values. Which metric would be better than the baseline Eucledian distance?
desert_ranger's user avatar
3 votes
1 answer
538 views

I have to compute the cross-correlation between two transient signals, which could be decomposed into a trend (with non-zero mean value) + noise. In particular I am interested in the max of the cross-...
EmThorns's user avatar
  • 403
0 votes
0 answers
152 views

First post here so please be easy on me. I have an application where I have one data point in high dimensions, represented by an $m \times n$ matrix. Call it $X_1$. And I have to compare this data ...
jeffery_the_wind's user avatar
3 votes
2 answers
701 views

For the design of an error correcting code, I might wish to maximize the distance between the codewords $\sum a_i \oplus b_i$. For spreading sequences I'd like to minimize the cross-correlation at $t=...
user827822's user avatar
1 vote
0 answers
931 views

The PSNR definition provided by wikipedia is often quoted in discussions regarding PSNR and other similarity metrics. Essentially the PSNR calculation has two components: the mean squared error and ...
David Lloyd's user avatar
-1 votes
3 answers
208 views

In astronomy, the Doppler effect is used to estimate approximate distances to stars and other celestial bodies. Using the same principle, lets say we divide an image (photograph) in pixels and that ...
Nico Brenner's user avatar
1 vote
1 answer
215 views

It is a range estimation problem, as shown in the figure. The blue circles are the anchor node' positions, which are produced by one moving anchor (the moving direction is shown with black arrow). ...
Land's user avatar
  • 25

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