MATLAB Implementation of Binocular Stereo Vision
Binocular stereo vision implementation using MATLAB, suitable for beginners with clear code examples and algorithm explanations
Explore MATLAB source code curated for "新手" with clean implementations, documentation, and examples.
Binocular stereo vision implementation using MATLAB, suitable for beginners with clear code examples and algorithm explanations
A comprehensive MATLAB tutorial for beginners with programming implementation guidance, perfect for newcomers starting their technical journey
A practical cloud model example designed for prediction and estimation tasks, featuring MATLAB code implementation with detailed algorithmic explanations for beginners
MATLAB code for speaker recognition employing Vector Quantization technique, designed for beginners new to vector quantization concepts
A comprehensive simulation program for single-point targets in Inverse Synthetic Aperture Radar (ISAR) systems, featuring basic signal processing algorithms ideal for beginners. Constructive feedback on implementation is welcomed.
This program implements iterative learning control algorithms for multi-input multi-output systems, providing valuable assistance for beginners to deepen their understanding of ILC principles through practical code examples and algorithm demonstrations.
Ready-to-use coordinate transformation models in Simulink, particularly helpful for beginners - includes algorithm insights and implementation approaches
This MATLAB simulation implements Maximum Power Point Tracking (MPPT) for photovoltaic systems using a fuzzy PID algorithm, providing a comprehensive reference module for beginners and researchers.
This MATLAB implementation demonstrates SURF (Speeded-Up Robust Features) algorithm for feature point extraction and image stitching. It provides faster feature detection compared to SIFT algorithm, with easier learning curve for beginners. The code includes feature detection, descriptor extraction, and matching techniques.
Complete companion source code for the MATLAB Image Processing Examples Explained book, featuring over 200 files across 15 chapters covering fundamental to practical implementations including algorithm demonstrations, image processing techniques, and real-world applications.