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Highlights from
Automatic Spectral Analysis

from Automatic Spectral Analysis by Stijn de Waele
Automatic spectral analysis for irregular sampling/missing data, analysis of spectral subband.

Contents.m
%ARMASA_RS version 1.0
%=====================
%   
%Automatic inference from reduced statistics.
%
%Release date: May 13, 2003.
%
%ARMASA_RS contains the program ARMASEL_RS that does parameter
%estimation, order selection and type selection based on an
%estimated high-order AR model.
%
%  armasel_rs         - reduced statistics ARMAsel model identification
%
%Estimation based on an estimated high-order AR model ARH
%  arh2ar             - AR model identification
%  arh2ma             - MA model identification
%  arh2arma           - ARMA model identification
%
%Estimator Tools
%  cic_s              - CIC finite sample criterion for segmented data
%  durbin2            - Durbin 2 algorithm for ARMA parameter estimation
%
%Uses the ARMASA toolbox.

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