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wavelet-analysis

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JWave

A Discrete Fourier Transform (DFT), a Fast Wavelet Transform (FWT), and a Wavelet Packet Transform (WPT) algorithm in 1-D, 2-D, and 3-D using normalized orthogonal (orthonormal) Haar, Coiflet, Daubechie, Legendre and normalized biorthognal wavelets in Java.

  • Updated Apr 11, 2020
  • Java
jorgman1
jorgman1 commented Nov 21, 2019

When using wavelet.cwt I get the following warning about a future deprecation in scipy:

/home/jorge/.local/lib/python3.5/site-packages/scipy/fftpack/basic.py:159: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use arr[tuple(seq)] instead of arr[seq]. In the future this will be interpreted as an array index, arr[np.array(seq)], which will result ei

通过反向传播算法实现神经网络和小波神经网络。Implement neural network and wavelet neural network through back-propagation algorithm. Реализация нейронных сетей и вейвлет-нейронных сетей с помощью метода обратного распространения ошибки.

  • Updated Jun 26, 2019
  • Jupyter Notebook

A refactored port and code rebuilt of JWave - Discrete Fourier Transform (DFT), Fast Wavelet Transform (FWT), Wavelet Packet Transform (WPT), some Shifting Wavelet Transform (SWT) by using orthogonal (orthonormal) wavelets like Haar, Daubechie, Coiflet, and other normalized bi-orthogonal wavelets.

  • Updated Mar 20, 2020
  • C#

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