Explore MATLAB source code curated for "盲均衡" with clean implementations, documentation, and examples.
MATLAB implementation of CMA+DDLMS (Constant Modulus Algorithm + Decision-Directed Least Mean Square) algorithm for blind equalization of 16-QAM signals, featuring adaptive filter coefficient updates and constellation recovery capabilities.
A straightforward blind equalization simulation program implementing the LMS algorithm, serving as a practical reference for signal processing applications with detailed code structure explanations.
Implementation of blind equalization CMA algorithm for source signal recovery with significant performance improvement in 4QAM systems
MATLAB implementation of blind equalization and blind deconvolution algorithms for blind signal processing applications
A blind equalization constant modulus algorithm for channel equalization, featuring effective ISI suppression and rapid convergence speed with adaptive weight optimization.
Channel adaptive blind equalization algorithm source code, thoroughly debugged and verified. Features real-time channel monitoring and automatic parameter adjustment mechanisms. Ideal for digital communication systems implementation.
10 comprehensive examples covering adaptive filtering, blind equalization, decorrelation LMS algorithm, training vs decision-directed modes, noise cancellation, and adaptive filter design with implementation insights