Explore MATLAB source code curated for "盲均衡算法" with clean implementations, documentation, and examples.
The CMA (Constant Modulus Algorithm) for 16QAM blind equalization represents the most fundamental approach in blind equalization research, implementing adaptive filtering to combat channel distortion without requiring training sequences.
A blind equalization algorithm utilizing Support Vector Machine (SVM) with QPSK (Quadrature Phase Shift Keying) as input signal, featuring MATLAB-compatible implementation considerations.
Fractionally spaced constant modulus blind equalization algorithm designed for SIMO systems, delivering superior performance with efficient signal recovery capabilities
A MATLAB simulation program implementing blind equalization algorithm for multipath channel transmission with detailed code implementation and performance analysis
This research focuses on subspace-based blind identification and blind equalization algorithms, exploring implementation approaches using key matrix decomposition techniques and signal processing methods.
This article introduces the principles of blind equalization algorithms and the CMA algorithm, with simulation of 4QAM signals using CMA implementation.
The Constant Modulus Algorithm (CMA) represents the most extensively applied blind equalization technique in practical implementations. This resource presents the source code implementation for an improved lc-cma algorithm variant.