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Toeplitz methods

Band matrices are often called Toeplitz matrices. In the subject of Time Series Analysis are found spectral factorization methods that require computations proportional to the dimension of the matrix squared. They can often be terminated early with a reasonable partial result. Two Toeplitz methods, the Levinson method and the Burg method are described in my first textbook, FGDP. Our interest is multidimensional data sets so the matrices of interest are truely huge and the cost of Toeplitz methods is proportional to the square of the matrix size. Thus, before we find Toeplitz methods especially useful, we may need to find ways to take advantage of the sparsity of our filters.
next up previous print clean
Next: Kolmogoroff spectral factorization Up: CAUSALITY AND SPECTAL FACTORIZATION Previous: Cholesky decomposition
Stanford Exploration Project
4/27/2004