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blind-deconvolution-based-on-the-ratio-of-cyclic-content

This is the Matlab code of the blind deconvolution based on the ratio of cyclic content (BD-RCC). BD-RCC can be used to recover repetitive impacts signal in noisy vibration.

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

course

高性能并行编程与优化 - 课件

cr-sparse

Functional models and algorithms for sparse signal processing

cyclostationary-signal-processing

dictol

DICTOL - A Dictionary Learning Toolbox in Matlab and Python

entropyhub

An open-source toolkit for entropic time-series analysis.

fastcsdl

a fast convolutional sparse dictionary learning algorithm, It can be applied to long one-dimensional signal processing. It doesn't need to divide long data into small segments to speed up the algorithm. It has low memory consumption and high computational efficiency.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

ltfat

This is an official development repository of LTFAT

mastering-github-copilot-for-paired-programming

A 6 Lesson course teaching everything you need to know about harnessing GitHub Copilot and an AI Paired Programing resource.

prml

PRML algorithms implemented in Python

prml_learning

learning fomula

sparse-plex

A MATLAB library for sparse representation problems

spectcorr

c++ implement spectral correlation

wrapper-feature-selection-toolbox

This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.

zjuthesis

Zhejiang University Graduation Thesis LaTeX Template