MATLAB Projects
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What are MATLAB Projects with Source Code?

MATLAB Projects with Source Code are ready-to-run software implementations, mathematical models, and Simulink diagrams designed for engineering students and researchers. They cover fields like control systems, deep learning, signal processing, image processing, and robotics. Each project includes documented code, sample datasets, and step-by-step guides.

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196 projects · Page 17 of 17
MATLAB Signal preprocessing : feature extraction MFCC using MATLAB project with source code MATLAB

Signal preprocessing : feature extraction MFCC using MATLAB

Signal preprocessing : feature extraction MFCC using MATLAB is an essential topic in modern research and applications. This article explores the key concepts, t…

Signal Processing View & Download
MATLAB Face Recognition in MATLAB: Code, Examples & Video Tutorial project with source code MATLAB

Face Recognition in MATLAB: Code, Examples & Video Tutorial

Face Recognition in MATLAB: Code, Examples & Video Tutorial is an essential topic in modern research and applications. This article explores the key concepts, t…

MATLAB View & Download
MATLAB Face Recognition System in MATLAB project with source code MATLAB

Face Recognition System in MATLAB

A face recognition system in MATLAB automates the identification and verification of individuals from digital images or live video feeds. The system combines cl…

MATLAB View & Download
MATLAB Estimation of Battery Soc using MATLAB project with source code MATLAB

Estimation of Battery Soc using MATLAB

Estimation of Battery Soc using MATLAB is an essential topic in modern research and applications. This article explores the key concepts, techniques, and practi…

MATLAB View & Download

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Frequently Asked Questions

Our collection includes projects across multiple domains: control systems & automation (PID controllers, state-space design), signal processing (filtering, frequency analysis, Fourier transforms), neural networks & deep learning (CNNs, RNNs, classification), image processing (edge detection, segmentation), robotics (trajectory planning, kinematics), and data analysis (visualization, statistical modeling). Each project includes source code, documentation, and step-by-step explanations.
Yes! Beginner projects require minimal MATLAB knowledge and focus on core concepts like loops, functions, plotting, and basic matrix operations. Intermediate projects introduce Simulink and optimization. Advanced projects target students pursuing research or specialized applications.
Our projects are designed for learning and inspiration. You can download, study, and modify the code to understand implementation techniques. We recommend using these as reference implementations. If you need custom project development, our expert team is available.
Step 1: Browse our collection below. Step 2: Click "View & Download" on any project. Step 3: Review the README for prerequisites. Step 4: Open the .m file in MATLAB. Step 5: Modify parameters and adapt the code. Need guidance? Check our MATLAB tutorials.
Each project includes: Documented source code (.m files with detailed comments), README file with setup instructions, Example datasets (if applicable), Results/outputs showing expected performance, and Explanatory notes. Many also include Simulink models.
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