An open-source toolkit for entropic data analysis.
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Updated
May 22, 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.
An open-source toolkit for entropic data analysis.
A Guide to Reproducible MATLAB
Code for Riddim: A Rhythm Analysis And Decomposition Tool Based On Independent Subspace Analysis (2001)
Jacob Koziej at The Cooper Union - ECE 210: MATLAB Seminar - Signals & Systems
Projects and exam of the Neural Network university course - UNIUD
This is my undergrad thesis I completed for my Bachelor's for Mathematics at Scripps College in 2013. My advisor was Vin de Silva from Pomona College. Included here is both the paper I submitted, and the poster I presented at Capstone Day.
Infinite Matrices and Its Application
Telecommunication lab works coded in MATLAB
Computes metric entropy and a finite version of topological entropy of sequences of letters.
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Mechanical engineering graduation monograph.
Data, visualization and post-processing code for AER303 Airfoil lab
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.
Kalman filtering is a powerful technique for estimating the state of nonlinear mechatronics systems from noisy measurements. Kalman filters have a wide range of applications in robotics, vehicle control, and aircraft control.
Leveraging MATLAB Simulink for Hexapod Robotics: Simulation, Control and Learning
Created by Cleve Moler
Released 1984