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Journals and Conferences
A universal characterization of maximum-entropy covariances for multidimensional signals is presented. We show that the maximum-entropy extension of an arbitrary partial covariance of a nonstationary multidimensional signal always has what we call a banded inverse, i.e., the inverse is sparse and has the same support as the given partial covariance. We… (More)
Methods for the autoregressive moving average (ARMA) modeling of digital systems using a two-channel autoregressive (AR) lattice are presented. One method has the advantage that one-half of the lattice parameters are zero when the system's excitation signal is white noise.
A technique for performing exact calculations it discussed. The technique uses single-modulus P arithmetic to perform calculations over the finite field of integers and the finite ring of integers. It is shown that the arithmetic operations modulo P (which obviously can be impleinented in microprocessor configurations, VLSI, and/or software) can easily be… (More)