Explore MATLAB source code curated for "频谱估计" with clean implementations, documentation, and examples.
Comprehensive EEG signal processing toolkit featuring event-related potential (ERP) extraction, waveform estimation, single-trial latency/amplitude calculation, and ongoing activity spectral analysis. Implements two sophisticated algorithms: dVCA (dynamic Vector Component Analysis) for ERP decomposition and AESO (Adaptive Eigenvector Separation Optimization) for spectral feature extraction.
Spectral estimation algorithm based on the autoregressive (AR) method, implemented in MATLAB with code optimization and visualization features
The Higher-Order Spectral Analysis Toolbox is a comprehensive collection of M-files implementing advanced signal processing algorithms for spectral estimation, polyspectral analysis, and time-frequency distribution computations. It contains specialized functions for practical applications including time-delay estimation, harmonic retrieval, parameter estimation for Volterra (nonlinear) models, and adaptive linear prediction. The toolbox enables implementations across diverse fields such as acoustics, biomedical engineering, economics, seismic exploration, non-destructive testing, oceanography, plasma physics, radar, sonar, and speech processing through MATLAB's programming interface.
Implementation of spectrum estimation through the multitaper method, this example directly utilizes the pmtm function for estimation, incorporating key parameter configurations and algorithm insights.
High-Performance Prony Analysis MATLAB Code for Signal Parameter Extraction