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Currently there is no implementation of Fast Walsh–Hadamard transform in SciPy. Although it seems that FWHT is not as general as FFT but it is pretty ubiquitous ,it is there is other maths and science…
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I have written a hacky script to look for dead links. Open a console and `cd path/to/fundamentals_of_interferometry`. Then fire up ipython and copy the below code (ctrl-c):
```python
import json
…
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```
I got impression(may be I am wrong) that in the QUEST we use "naive", written
by hand Fourier transform.
If I am right, I it should be replaced by the Fast Fourier Transform. (There
are number …
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1. Applications of NM in Science & Engineering
2. Taylor Series & it's Application
3. Curve Fitting
4. Finite Element Method
5. Gradient Descent Methods
6. Hyperparameters Optimization
7. Markov…
ErSKS updated
4 years ago
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Implement better multiplication for large numbers.
Multiplication currently uses Toom-3, which is O(n^1.47) for n BigDigits. This can be improved to O(n log n) using the Fast Fourier Transform (on …
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Now, with the Hermite-functions and a CI properly set up, the core functionality of the package can be implemented:
The Robust Weighted Least Squares approach to Fourier Transform as described in
…
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According to [R. Piessens and M. Branders, On the computation of Fourier transforms of singular functions, *J. Comp. Appl. Math.*, **43**:159-169, 1992](https://www.sciencedirect.com/science/article/p…
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Starting in Pytorch 1.8, `torch.fft` is a module and not a function. So the FFT calls are now similar to that for numpy.
See:
https://pytorch.org/blog/the-torch.fft-module-accelerated-fast-fourier…
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For each electrode, take the fast Fourier transform and separate it into frequency bands. Then, for each frequency band, find the Mean/Median/Variance/SD/Min_value/Max_value/Range/Skewness/whatever fr…
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Fatiando has modeling routines for right rectangular prisms calculated using the space domain formula of Nagy (2000) (`fatiando.gravmag.prism`). It would be great the have the frequency (wavenumber) d…