Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Howard Kaufman"'
Autor:
S. Koch, Howard Kaufman
Publikováno v:
IFAC Proceedings Volumes. 25:477-480
Blurred and noisy images can often be represented as nonstationary two-dimensional (2-D) stochastic processes that can be modeled by a set of linear state equations with space-varying coefficients. This paper presents an algorithms based on the Exten
Autor:
Howard Kaufman, A.M. Tekalp
Publikováno v:
IEEE Control Systems. 11:16-24
Blurred and noisy images can often be represented as nonstationary 2D stochastic processes that can be modeled by a set of linear space-varying state equations, or by an ARMA input-output equation with space-varying coefficients. Liner difference equ
Publikováno v:
Direct Adaptive Control Algorithms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c460144ed7b647acb8bed7a2404db8c
https://doi.org/10.1007/978-1-4612-0657-6
https://doi.org/10.1007/978-1-4612-0657-6
Autor:
Howard Kaufman, S. Kotob
Publikováno v:
IEEE Transactions on Automatic Control. 22:807-815
An on-line minimum variance (MV) parameter identifier is developed which embodies both accuracy and computational efficiency. The formulation results in a linear estimation problem with both additive and multiplicative noise (AMN). The resulting filt
An implementable digital adaptive flight controller designed using stablized single-stage algorithms
Autor:
G. Alag, Howard Kaufman
Publikováno v:
IEEE Transactions on Automatic Control. 22:780-788
Adaptive flight control systems are of interest because of their potential for providing uniform stability and handling qualities over a wide flight envelope despite uncertainties in the open-loop characteristics of the aircraft. Because of the poten
Autor:
A.M. Tekalp, Howard Kaufman
Publikováno v:
IEEE Transactions on Acoustics, Speech, and Signal Processing. 36:1360-1363
An optimal statistical parameter estimation technique was previously presented by the authors (ibid., vol.ASSP-34, p.963-72) for the identification of a class of unknown linear systems that can be modeled by a zero-phase finite impulse response filte
Publikováno v:
IEEE Transactions on Biomedical Engineering. :345-349
Efforts to automate the estimation of left-ventricular volume from serial angiocardiograms have neglected the explicit location of the aortic valve line and the ventricle apex. From heuristic considerations of typical aorta-ventricle outlines, an alg
Publikováno v:
1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.
A two-dimensional recursive algorithm based upon the use of multiple models is described for the problem of nonstationary image processing. Of importance is the doubly stochastic representation resulting from the modelling of the transition of the ap
Autor:
Howard Kaufman, Lawrence Mabius
Publikováno v:
1975 IEEE Conference on Decision and Control including the 14th Symposium on Adaptive Processes.
This paper presents a stable implicit adaptation algorithm for model reference control. The constraints for stability are found using Lyapunov's second method and do not depend on perfect model following between the system and the reference model. Me
Autor:
Jie Biemond, Howard Kaufman
Publikováno v:
26th IEEE Conference on Decision and Control.
In this paper a parallel identification and restoration procedure is described for images with symmetric, noncausal blurs. It is shown that the identification problem can be specified as a parallel set of one-dimensional complex autoregressive moving