Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Howard Kaufman"'
Publikováno v:
Signal Processing. 15:259-269
A new decision-directed filtering algorithm has been developed for model-based segmentation and space-variant restoration of blurred images. We assume that the space-variant blur can be represented by a collection of L distinct point spread functions
Autor:
Izhak Bar-Kana, Howard Kaufman
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 2:133-143
This paper considers adaptive control of various systems with unknown time-varying or non-linear dynamics in an attempt to show that practical adaptive control can be simple and robust. The simplified adaptive control methodology used is based on the
Autor:
Denise L. Angwin, Howard Kaufman
Publikováno v:
Signal Processing. 16:21-28
The one-dimensional state-space representation of an image for restoration using a Kalman filter requires a relatively large state vector. For a typical autoregressive signal model with nonsymmetric half-plane support, the dimension of the state is a
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
Autor:
Lester A. Gerhardt, Howard Kaufman
Publikováno v:
IEEE Transactions on Education. 15:166-171
Two Master's level student projects are described stressing the on-line real time use of a minicomputer as an element of an overall system. Emphasis is placed on using the dedicated minicomputer as an integral part of the system being developed and a
Publikováno v:
1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.
In this paper an implicit model reference adaptive control algorithm for multi-input multi-output plants is developed. Asymptotic stability of the error between plant and model outputs is guaranteed even when the conditions for perfect model followin