Modern Spectral Estimation Using AR Models

Implementation and comparative analysis of modern spectral estimation methods including autocorrelation method, covariance method, and Burg method based on AR models, with performance evaluation and comparison against classical spectral estimation techniques.

Modeling of AR Random Processes with Spectrum Estimation Methods

Modeling of AR random processes, given an AR process model, with power spectrum estimation using both Yule-Walker equations and covariance methods, including algorithm implementation considerations and key computational functions

Linear Modeling of AR Processes and Power Spectrum Estimation: Yule-Walker, Covariance, Burg, and Modified Covariance Methods

Implementation approaches for AR process modeling and power spectrum estimation using: (1) Yule-Walker method (autocorrelation approach); (2) Covariance method; (3) Burg method; (4) Modified covariance method