Zobrazeno 1 - 10
of 106
pro vyhledávání: '"R.D. DeGroat"'
Publikováno v:
IEEE Transactions on Magnetics. 37:633-638
In this paper, we experimentally measure the nonstationary (non-Toeplitz) write noise correlation matrix and fit key portions of the matrix to a simple theoretical correlation matrix which consists of up to seven terms. The seven terms are associated
Autor:
E.S. Baker, R.D. DeGroat
Publikováno v:
IEEE Transactions on Signal Processing. 46:3112-3116
Stewart (1992) proposed the URV algorithm as a less complex alternative to the SVD. By forming the cross product of the URV with its transpose, a correlation domain decomposition is produced that involves even less computation. This cross product RV
Publikováno v:
Journal of Systems Architecture. 42:171-193
The 4-level spherical subspace tracker tracks the dominant or subdominant subspace associated with an input vector time series. The tracker maintains four distinct eigen-levels which can be used with the Minimum Description Length (MDL) criterion to
Publikováno v:
Journal of VLSI signal processing systems for signal, image and video technology. 14:93-105
In this paper, we discuss some issues relevant to frequency and direction of arrival (DOA) tracking problems. First, we develop a linear Frequency Modulated (FM) signal model for accurately describing windowed, slowly time varying narrowband signals
Publikováno v:
Signal Processing. 50:101-121
In this paper we develop and analyze multilevel spherical subspace updating algorithms. These algorithms track eigenvectors and/or eigensubspaces associated with time-varying data that arises in adaptive signal processing, direction of arrival (DOA)
Publikováno v:
Signal Processing. 46:85-104
Constrained MUSIC and beamspace MUSIC are similar algorithms in that they both require a priori information about signal directions and they both involve linear transformations on the data. Constrained MUSIC uses precise information regarding the dir
Publikováno v:
Circuits, Systems, and Signal Processing. 14:689-705
A major reason for the success of linear autoregressive (AR) modeling is that Kolmogrorov proved that every linear system could be represented by a linear AR model of infinite order. The computation of a finite order AR approximation is, of course, t
Publikováno v:
International Journal of High Speed Electronics and Systems. :395-418
The spherical subspace tracker is a low complexity adaptive algorithm that converges to the dominant (or subdominant) subspace. Spherical subspace updating is a fast way to monitor slowly time-varying subspaces, which arise in high resolution directi
Publikováno v:
IEEE Transactions on Antennas and Propagation. 42:590-599
In the determination of the natural modes of an electromagnetic scatterer, the measured time series will contain desired information, noise, and quite often known transient components introduced by the excitation source or measuring equipment. This p
Publikováno v:
IEEE Transactions on Signal Processing. 42:914-926
The transposed VR (TQR) iteration is a square root version of the symmetric QR iteration. The TQR algorithm converges directly to the singular value decomposition (SVD) of a matrix and was originally derived to provide a means to identify and reduce