MATLAB Implementation of Continuous Signals
Continuous signals and their MATLAB implementation, including unit impulse signals, unit step functions, and other fundamental signal types with practical code examples.
Explore MATLAB source code curated for "matlab代码" with clean implementations, documentation, and examples.
Continuous signals and their MATLAB implementation, including unit impulse signals, unit step functions, and other fundamental signal types with practical code examples.
Edge detection source code implemented in MATLAB using the Canny algorithm. The template can be easily modified to adapt other detection algorithms, providing flexibility for different edge detection approaches.
A MATLAB-based dynamic tracking program utilizing USB camera for real-time object tracking and trajectory analysis
Complete MATLAB code implementation of Gaussian Pyramid algorithm featuring detailed source code and comprehensive image processing capabilities
Implementation of Linear Mixed Integer Programming Problem Solving with Branch and Bound Algorithm (MATLAB Code)
This simulation implements energy detection through the main function, where psk_2 handles BPSK modulation, pdsnr calculates theoretical values, and the main function compares theoretical vs. simulation results through graphical plots.
MATLAB-based implementation of Hidden Markov Model (HMM), a crucial technique in speech recognition systems, featuring algorithm explanation and practical code examples
MATLAB programming implementation of the Fruit Fly Optimization Algorithm with function optimization testing, including parameter configuration, objective function definition, and performance evaluation.
A MATLAB-based voice activity detection program designed to identify speech start and end points in audio signals, featuring robust algorithm implementation with code-level insights.
Complete MATLAB implementations for AM, FM, FSK, GFSK, MSK, and GMSK modulation/demodulation techniques, including voice signal testing capabilities. Each algorithm features detailed code explanations, theoretical analysis, performance comparisons, and practical implementation approaches.