Explore MATLAB source code curated for "四阶累积量" with clean implementations, documentation, and examples.
A harmonic recovery approach utilizing fourth-order cumulants demonstrates advantages in noise suppression and harmonic estimation, with practical implementation involving statistical signal processing techniques.
Implementation of the MUSIC algorithm using fourth-order cumulants in MATLAB environment, featuring signal processing and classification capabilities.
Implementation of the MUSIC algorithm utilizing fourth-order cumulants with comprehensive code annotations and performance analysis
Redundancy reduction in the fourth-order cumulant-based MUSIC algorithm removes superfluous redundant data, reducing computational complexity while maintaining excellent resolution performance through optimized matrix operations and eigenvalue decomposition techniques.
Implementation of joint diagonalization using fourth-order cumulants, featuring two distinct computation methods with code-level explanations for better understanding. This advanced algorithm (similar to JADE in Independent Component Analysis) demonstrates practical approaches for cumulant matrix construction and orthogonal transformation techniques.
Implementation of MUSIC Algorithm Using Fourth-Order Cumulants for Enhanced DOA Estimation with Code-Oriented Explanations
Computational Approaches for Second-Order Cross-Cumulants with Code-Level Descriptions
Direction of Arrival (DOA) Estimation Based on Fourth-Order Cumulants Algorithm Implementation
Experimental MATLAB Simulation of DOA Estimation Using Multiple Signal Direction Finding Algorithms