Explore MATLAB source code curated for "MATLAB仿真" with clean implementations, documentation, and examples.
This MATLAB simulation project contains four programs that compare transmission signal frequency domain characteristics under two different scenarios, featuring algorithms for signal generation, multipath modeling, and frequency domain analysis.
A MATLAB simulation program for road recognition primarily based on road color image processing, incorporating multiple computer vision algorithms for enhanced detection accuracy.
MATLAB simulation code for GMSK modulation and demodulation using 32 sampling points, featuring implementation of core algorithms and signal processing functions
MATLAB simulation of Jakes model for fast fading channels applicable in 3G/B3G systems, with successful implementation in OFDM systems by the author
This MATLAB-based implementation presents the Generalized Sidelobe Canceller (GSC) algorithm for adaptive beamforming, complete with comprehensive simulation and performance analysis under various signal-to-noise conditions.
A comprehensive MATLAB simulation program for Turbo codes with detailed code annotations and implementation insights
Simulation of OFDM receivers using MATLAB enables generation of corresponding constellation diagrams and spectral plots, with implementations involving signal demodulation, FFT processing, and visualization techniques.
This is a MATLAB simulation program for dual space vector control of matrix converters, featuring Simulink models and S-functions programmed in M language, designed for power industry research simulations.
This article provides a comprehensive guide to MATLAB simulation of LTE systems, detailing the implementation workflow, parameter configuration methods, and key computational approaches with code-level explanations.
This code implements OFDM channel estimation algorithms with zero-padding and cyclic prefix insertion, demonstrating their practical application. The implementation includes QPSK modulation scheme and channel equalization. The modular code structure allows customization for specific user requirements. Feedback and suggestions for improvement are welcome.