Explore MATLAB source code curated for "调制识别" with clean implementations, documentation, and examples.
This code implements modulation recognition by extracting feature parameters to identify modulation schemes such as BPSK, QPSK, and others, with algorithm-level enhancements for digital signal processing.
Developed a simulation for modulation recognition using higher-order cumulants (statistics), including references to classical literature and a presentation PPT. Later improvements to the code achieved results perfectly matching the literature, though the PPT was not updated accordingly. This work has strong reference value for signal processing implementations.
Modulation recognition for 6 different signal types achieving over 90% accuracy when SNR < 10dB. Excellent implementation featuring robust signal processing algorithms and classification techniques!
Modulation Recognition: Implementation of communication signal modulation classification using decision theory principles with code-level algorithmic explanations
This is a highly practical modulation recognition program addressing a key challenge in software-defined radio. The implementation simulates core parameters proposed by NANDI, providing significant reference value for researchers. Contains algorithmic implementations and parameter extraction methods suitable for signal analysis applications.
MATLAB Simulation Analysis of Modulation Recognition in Satellite Channels – A comprehensive study featuring signal processing implementations and performance evaluation
Modulation recognition of MPSK signals using higher-order cumulants demonstrates exceptional performance, achieving remarkably high recognition rates. After extensive validation and rigorous analysis, I have confirmed the reliability of this method and its consistently high accuracy rates in practical applications.