Explore MATLAB source code curated for "分离信号" with clean implementations, documentation, and examples.
Blind Source Separation Algorithm capable of extracting original signals from mixed signals. Verified with MATLAB: The program successfully separates sinusoidal signals and random noise signals from their mixture. The implementation ensures correct execution through comprehensive testing and includes signal generation, mixing matrix configuration, and separation performance evaluation.
MATLAB program for Interleave Division Multiple Access (IDMA), a promising technology that enables user signal separation through simple iterative operations. The implementation includes key algorithmic components such as iterative multiuser detection, interleaver design, and interference cancellation mechanisms.
The maximum negentropy-based independent component analysis algorithm enables effective separation of mixed signals into their independent source components, with implementations typically involving optimization techniques for non-Gaussianity maximization.