Dispersion-eigenvalue determined order and sampling period

Three eigenvalue-based methods for determining an estimate degree of a characteristic polynomial from response data are discussed. Two methods utilize ninety-nine percent partial sums of both covariance eigenvalues and correlation eigenvalues. A third approach examines the number of smallest correlation eigenvalues. Using the order estimate, a locally optimum sampling period is produced from reconstructed data.