SJTU CS386 Digital Image Processing

This repository contains MATLAB scripts and sample seismic data for appying seismid denoising proposed in: "Hybrid Seismic Denoising Using Higher‐Order Statistics and Improved Wavelet Block Thresholding"

Joint Estimation of Frequency, Amplitude and Spectrum

Numerical toolbox developed by the Nonlinear & Biomedical Physics group at Lancaster University for analysing real-life time-series.

使用小波变换对图像进行处理，包括图像融合、图像降噪、图像压缩和图像隐藏（Using wavelet transform for image processing, including image fusion, image denoising, image compression, and image hiding）

Automatic Microseismic Denoising and Onset Detection using customized thresholding.

This project was completed in 2018 as a part of my postgraduate studies in Biomedical Engineering

Matlab pipeline for semi-supervised mouse behavioral classification

This is a very simple denoising code for seismic data. It contains two different basic thresholding functions and works in continuous wavelet domain.

This repository contains MATLAB scripts and sample data for applying denoising method presented in: "Automatic noise-removal/signal-removal based on general cross-validation thresholding in synchrosqueezed domain and its application on earthquake data"

Robustness of DWT vs DCT is graded based on the quality of extracted watermark. The measure used is the Correlation coefficient (0-100%).

This is a reverse algorithem for GCV method that removes the signal and keep the background noise

Artificial Intelligence based model for classifying different wood species based on specific vibration characteristics.

Voice Activity Detection in audio signals using 2 wavelet-based methods (Matlab)

丁建均老師的"時頻分析和小波轉換"作業(TFW)

This repository hosts the script that was utilized for report the results of the conference article: “Effect of the Exposure Time in Laser Speckle Imaging for Improving Blood Vessels Localization: a Wavelet Approach”

MHD Detection in ECG signals in different types of MRI scanners

4D Non-separable Integer Wavelet Transform for Lossless and Lossy Image Compression