https://github.com/peterajhgraham/matlab_toolbox

MATLAB Tools that can be used for data analysis, algorithm development, modeling, and simulation.
https://github.com/peterajhgraham/matlab_toolbox

matlab matlab-deep-learning

Last synced: 27 days ago
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MATLAB Tools that can be used for data analysis, algorithm development, modeling, and simulation.

• Host: GitHub
• URL: https://github.com/peterajhgraham/matlab_toolbox
• Owner: peterajhgraham
• Created: 2024-08-19T18:13:07.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-08-25T20:16:24.000Z (3 months ago)
• Last Synced: 2024-10-04T21:44:48.990Z (about 2 months ago)
• Topics: matlab, matlab-deep-learning
• Language: MATLAB
• Homepage:
• Size: 16.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# MATLAB Toolbox Overview

A concise MATLAB toolbox for data analysis, algorithm development, modeling, and simulation.

## Directory Structure

```

MATLAB_Toolbox/

├── src/

│   ├── data_analysis.m

│   ├── algorithm_development.m

│   ├── modeling.m

│   ├── simulation.m

│   └── Main.m

│

├── .gitignore

└── README.md

```

## Usage

### Data Analysis

Perform data cleaning, statistical analysis, and PCA.

```matlab

data = randn(100, 5);

[cleanedData, stats, pcaResult] = data_analysis(data, true);

disp(stats);

```

### Algorithm Development

Develop predictive models using various algorithms.

```matlab

X = randn(100, 3);

y = X(:, 1) + 2*X(:, 2) + randn(100, 1);

model = algorithm_development(X, y, 'lasso');

disp(model);

```

### Modeling

Simulate state-space models and compute eigenvalues for stability analysis.

```matlab

A = [0 1 0; 0 0 1; -1 -1 -1];

B = [0; 0; 1];

C = [1 0 0];

D = 0;

y0 = [1; 0; 0];

tSpan = 0:0.01:10;

u = ones(length(tSpan), 1);

[t, y, eigenvalues] = modeling(A, B, C, D, u, y0, tSpan);

plot(t, y);

```

### Simulation

Generate noisy signals and compute SNR.

```matlab

t = linspace(0, 1, 1000);

[signal, noise, snr] = simulation(5, t, 0.1);

plot(t, signal);

disp(['SNR: ', num2str(snr), ' dB']);

```

## Installation and Executing

- git clone repo

- change directory to src directory in repo

- run `Main.m` (no dependencies needed)