Speech Recognition Implementation Using MATLAB Code
MATLAB-based speech recognition program featuring basic functionality implementation with potential for advanced feature integration
Explore MATLAB source code curated for "Matlab" with clean implementations, documentation, and examples.
MATLAB-based speech recognition program featuring basic functionality implementation with potential for advanced feature integration
Simulation of P-Code Generation in MATLAB Based on GPS Principles
MATLAB Implementation and Simulation of Probabilistic Data Association Algorithm for Target Tracking
A MATLAB implementation for solving optimization problems using quasi-Newton algorithms, featuring core functions like BFGS or DFP updates and gradient calculations. Users should verify the implementation before application and consider exploring alternative algorithms for comparison.
Implementation of an MPPT simulation model using the hill climbing algorithm in MATLAB's Simulink environment, featuring parameter configuration for solar irradiance and battery voltage with real-time performance monitoring.
Implementation of EBMA (Exhaustive Block Matching Algorithm) based motion estimation in MATLAB with functional code that produces valid results.
A comprehensive MATLAB implementation of image segmentation based on region growing algorithm, featuring pixel similarity analysis and expandable functionality for preprocessing and postprocessing operations.
A comprehensive MATLAB library for Kalman Filter implementation, featuring multiple source code examples that demonstrate various filtering techniques and optimization methods.
A MATLAB-implemented face recognition system based on Markov Model and Support Vector Machine with integrated face database. This robust implementation (non-original) demonstrates excellent performance with key features: database generation from training/test samples; face recognition rate calculation (96.5 ); specific image identification; real-time camera-based face recognition. The system utilizes probability transition matrices for feature extraction and SVM classification for pattern recognition.
A detailed textbook on implementing various graph theory algorithms in MATLAB with accompanying complete source code packages, covering fundamental to advanced computational techniques.