Topic: discrete-wavelet-transform Goto Github
Some thing interesting about discrete-wavelet-transform
Some thing interesting about discrete-wavelet-transform
discrete-wavelet-transform,Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networks
User: abcpp12383
discrete-wavelet-transform,Bachelor Thesis in Biomedical Engineering about Myocardial Ischemia Detection Using DWT Feature Extraction and Artificial Neural Networks Classifier
User: achmadfachturrohman
discrete-wavelet-transform,A simple and easy implementation of Wavelet Transform
User: ap-atul
Home Page: https://ap-atul.github.io/wavelet
discrete-wavelet-transform,A re-implementation of the Wavelets package using Cython to improve the speed.
User: ap-atul
Home Page: https://ap-atul.github.io/wavelet
discrete-wavelet-transform,Discrete fourier transform (DFT) and discrete wavelet transform (DWT) to denoise white noise
User: ffigura
discrete-wavelet-transform,A practical guide to Discrete Wavelet Transform and its applications in data science
User: kamicollo
Home Page: https://share.streamlit.io/kamicollo/intro-to-dwt/wavelets.py
discrete-wavelet-transform,National Taiwan Normal University 2020 Autumn - 1091 Advanced Image Processing Course Homework.
User: m3gofriends
discrete-wavelet-transform,Cal Poly Undergraduate Senior Project: ECG arrhythmia classification with feed-forward neural network and discrete wavelet transformation
User: ndiekema
discrete-wavelet-transform,Improved Discrete Wavelet Transform compression method for Satellite Images
User: nhatrinh-269
discrete-wavelet-transform,A deep learning solution using Convolutional Neural Networks and Wavelet Transform to tackle the Speech Emotion Recognition task.
User: rafaelgreca
discrete-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.
User: yogeshphalak
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