Higher-Order Spectral Analysis Toolbox
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Resource Overview
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.
Detailed Documentation
The Higher-Order Spectral Analysis Toolbox comprises a collection of M-file functions that implement various advanced signal processing algorithms for spectral estimation, polyspectral estimation, and time-frequency distribution calculations. The toolbox includes practical application modules for time-delay estimation, harmonic recovery, parameter estimation of Volterra (nonlinear) models, and adaptive linear prediction algorithms. Beyond these core applications, the toolbox supports implementation in multiple domains including acoustics, biomedical engineering, economics, seismic exploration, non-destructive testing, oceanography, plasma physics, radar, sonar, and speech processing through MATLAB-coded functions and algorithms. The implementation leverages MATLAB's matrix operations and signal processing capabilities to efficiently handle higher-order statistical computations and nonlinear system analyses.
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