MATLAB Simulation Program for Wireless Sensor Networks
MATLAB simulation program for wireless sensor networks, featuring detailed simulation modules with comprehensive program documentation and implementation guides.
Explore MATLAB source code curated for "Matlab仿真程序" with clean implementations, documentation, and examples.
MATLAB simulation program for wireless sensor networks, featuring detailed simulation modules with comprehensive program documentation and implementation guides.
MATLAB simulation program for ESPRIT algorithm implementation with signal parameter estimation
This MATLAB simulation program effectively implements radar CFAR detection with excellent performance results
This is an excellent MATLAB simulation program for CP-based maximum likelihood symbol timing synchronization and carrier synchronization in OFDM systems. Developed through in-depth study of classical literature and extensive programming debugging, the code is refined, well-organized, and error-free. The synchronization curves obtained from this simulation perfectly match those in classical references. The implementation features efficient correlation algorithms using cyclic prefix properties and handles frequency offset estimation with maximum likelihood detection. For an OFDM system with N=1024 subcarriers as required by the literature, the program runs in approximately 2-3 minutes.
MATLAB simulation program for analyzing Bit Error Rate (BER) in CDMA downlink systems using Rake reception technology, featuring multipath interference mitigation and performance evaluation capabilities.
Verified MATLAB simulation program for WCDMA downlink scrambling codes and OVSF codes, featuring algorithm implementation and code structure explanations
A complete MATLAB simulation suite for Continuous Phase Modulation (CPM) systems with detailed implementation analysis and parameter studies.
MATLAB simulation program source code implementing advanced PID multi-variable two-decoupling control methodology
MATLAB simulation program for Statistical Sparse Decomposition (SSDP) underdetermined blind source separation. This implementation enables source signal recovery using only observed signals when the number of receiving antennas is fewer than the number of source signals, featuring sparse representation and statistical modeling approaches.
This graduation project provides a comprehensive OFDM system model along with MATLAB simulation code implementation, featuring detailed algorithm explanations and performance analysis.