Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Howard Kaufman"'
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
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
Publikováno v:
IEEE Transactions on Automatic Control. 28:745-756
Estimation of image pixel density can be performed using a reduced update Kalman filter provided that a mathematical model for the image generating process is available. To this effect various algorithms suitable for identifying the parameters of aut
Autor:
Howard Kaufman, Lester A. Gerhardt
Publikováno v:
IEEE Transactions on Education. 18:81-87
The development, methodologies, and first semester implementation of a senior level digital computer laboratory course are discussed. The laboratory centers around the use of a minicomputer and permits dedicated minicomputer usage for real time on-li
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
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. :576-590
Two implicit model reference adaptive control algorithms for multi-input multi-output systems are developed. These algorithms do not require either satisfaction of the perfect model following conditions or explicit parameter identification. The first
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:
ICASSP
Scopus-Elsevier
Scopus-Elsevier
An optimal statistical parameter estimation technique is presented for the identification of unknown image and blur model parameters. The development leads to an autoregressive moving average (ARMA) model identification problem, where the image model
Publikováno v:
IEEE Control Systems Magazine. 9:20-24
The goal of this investigation is the development of an adaptive drug delivery system for use in regulation of critical care patients suffering from cardiac failure. It is assumed that adaptive control algorithms combined with expert system technique
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