研究生数学建模,本科生数学建模、数学建模竞赛优秀论文,数学建模算法,LaTeX论文模板,算法思维导图,参考书籍,Matlab软件教程,PPT
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Updated
Sep 30, 2024 - TeX
MATLAB is a high-performance language developed by MathWorks for technical computing, visualization, and programming. It is written in C, C++, Java and available for Windows, macOS, and Linux. Generally used by engineers and scientists in industry and academics for data analysis, signal processing, optimization and many other types of scientific computations.
研究生数学建模,本科生数学建模、数学建模竞赛优秀论文,数学建模算法,LaTeX论文模板,算法思维导图,参考书籍,Matlab软件教程,PPT
An open-source toolkit for entropic data analysis.
LaTeX template, Outstanding papers of last years and some useful books about MATLAB
Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.
List of ressources and practicals used for the fMRI data analysis course of UoB (UK) (2014-2017)
Arrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & WEKA/MATLAB Supervised Training
Image processing tutorials
Arrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & Machine Learning
LaserMat is a computer vision library written in MatLab, thought for laser triangulation-based systems. It allows to calibrate the system using [Tsai] calibration algorithm, to conveter the coordinate from the image referece system to the world referece system and vice-versa. Furthermore, it contains some filters for image and laser processing.
Open collaborative book on quadratization in discrete optimization and quantum mechanics.
数值算法 Matlab 实践与分析. MATLAB Implementation of Numerical Algorithms.
微分方程数值解作业
EE4-13 Adaptive Signal Processing and Machine Intelligence (2017-2018) Coursework
Course webpage for EE521 Digital Signal Processors Lab 2021 IIT Guwahati
Research of the dice game Pig.
Digital Image Processing with Matlab
PhD thesis: Development of User-Friendly System Identification Techniques
This is a guide to face recognition with Python, GNU Octave/MATLAB and OpenCV2 C++. Eigenfaces and Fisherfaces are explained in detail and implemented.
Created by Cleve Moler
Released 1984