Topic: "discrete-wavelet-transform"
ap-atul/wavelets
A simple and easy implementation of Wavelet Transform
Language: Python - Size: 213 KB - Last synced at: 27 days ago - Pushed at: over 4 years ago - Stars: 22 - Forks: 5
ap-atul/wavelets-ext
A re-implementation of the Wavelets package using Cython to improve the speed.
Language: Python - Size: 228 KB - Last synced at: 27 days ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 0
abcpp12383/ThreeStageBinarization
Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networks
Language: Python - Size: 15 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 7 - Forks: 1
YogeshPhalak/Wavelet-Analysis-Image-Compression-Using-Discrete-Haar-Wavelet-Transform.
In this project, we will present an example of an orthonormal system on [0,1) known as the Haar system. The Haar basis is the simplest and historically the first example of an orthonormal wavelet basis. Many of its properties stand in sharp contrast to the corresponding properties of the trigonometric basis (Fourier Basis). For example, (1) The Haar basis functions are supported on small subintervals of [0,1), whereas the Fourier basis functions are nonzero on all of [0,1), (2) The Haar basis functions are step functions with jump discontinuities, whereas the Fourier basis functions are C-infinity on [0,1), (3) The Haar basis replaces the notion of frequency (represented by the index n in the Fourier basis) with the dual notions of scale and location (separately indexed by j and k), (4) the Haar basis provides a very efficient representation of functions that consist of smooth, slowly varying segments punctuated by sharp peaks and discontinuities, whereas the Fourier basis best represents functions that exhibit long term oscillatory behavior.
Language: TeX - Size: 22.5 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 1
m3gofriends/Advanced-Image-Processing-Course-Homework
National Taiwan Normal University 2020 Autumn - 1091 Advanced Image Processing Course Homework.
Language: Python - Size: 3.61 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 1
kamicollo/intro-to-dwt
A practical guide to Discrete Wavelet Transform and its applications in data science
Language: Python - Size: 27.2 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0
nhatrinh-269/Improved_DWT
Improved Discrete Wavelet Transform compression method for Satellite Images
Language: Jupyter Notebook - Size: 27 MB - Last synced at: 11 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0
rafaelgreca/ser-wavelet
A deep learning solution using Convolutional Neural Networks and Wavelet Transform to tackle the Speech Emotion Recognition task.
Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 1
AchmadFachturrohman/Machine-Learning-Based-Myocardial-Ischemia-Classification
Bachelor Thesis in Biomedical Engineers at Sepuluh Nopember Institute of Technology
Language: Jupyter Notebook - Size: 14.1 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
ndiekema/ecg_analysis
Cal Poly Undergraduate Senior Project: ECG arrhythmia classification with feed-forward neural network and discrete wavelet transformation
Language: Jupyter Notebook - Size: 3.64 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
