Painter, John

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This collection contains books, papers, and other research archived by John Painter, Retired Professor of Texas A&M University. Dr. Painter was appointed in three academic departments, being Electrical Engineering, Computer Science, and Aerospace Engineering, commencing in 1974. Prior to coming to Texas A&M, he was an Air Force Officer (Navigator) during the years 1955-1958, and NASA Engineer during 1962-1974.

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Recent Submissions

Results on Discrete-Time, Decision-Directed Integrated Detection, Estimation, and Identification

Painter, John H.; Jones, S. (IEEE, 1977-07)

New results are presented for symbol-by-symbol detection with decision-directed tracking of colored channel disturbances. Recursive sampled-data algorithms are shown for Maximum A Posteriori Probability of detection under ...
Optimal Symbol-by-Symbol Detection for Duobinary Signaling

Eggers, M.; Painter, John H. (IEEE, 1983-09)

An optimal symbol-by-symbol detection scheme for duobinary signaling (Class I PRS) which exploits the inherent correlation properties of partial response signaling (PRS) is postulated. Analytical results indicate a maximum ...
Intelligent system design with fixed-base simulation validation for general aviation

Rong, Jie; Ding, Yuanyuan; Valasek, J.; Painter, John H. (IEEE, 2003-10-05)
On the statistics of the product of a Gaussian noise process and a pseudorandom binary code

Painter, John H. (IEEE, 1965-12)
A combined single sideband hybrid AM-PM signal

Painter, John H. (IEEE, 1966-07)
Single-sideband hybrid AM-PM signal models

Painter, John H. (IEEE, 1966-03)
Comment "On the statistics of the product of a Gaussian process and a pseudo random binary code"

Painter, John H.; Jacobs, I. (IEEE, 1966-06)
Synthesis Techniques for a Class of SSB-AM-PM Signals

Painter, John H. (IEEE, 1969-05)

This paper develops synthesis techniques for a particular type of single-sideband sinusoidal carrier which is phase modulated by a subcarrier. Mathematical expressions for signal efficiency, sensitivity of design to parameter ...
Symbolic diagnosis for intelligent control

Painter, John H.; Jowers, S. (IEEE, 1988-08-24)

The results of research intended to create a symbolic diagnostician to support intelligent control of numerical processors and/or processes are reported. Example applications include real-time signal processors, industrial ...
Low cost multi-channel GPS receiver

Painter, John H.; Tachita, R.; Ikeda, K.; Teranishi, A.; Noe, P.S. (IEEE, 1988-11-29)

An investigation was conducted on compact, multichannel GPS (global positioning system) receivers. The code generator and correlation equipment were simplified, attempting to avoid downgrading the properties possessed by ...
A knowledge-based control paradigm for real-time systems

Painter, John H.; Lin, S.K.; Glass, E. (IEEE, 1988-08-24)

The authors examine the application of knowledge-based symbolic control to the management of execution and configuration of a complex numerical control system. Symbolic processing is used to implement inference of system ...
Reconciling steady-state Kalman and alpha-beta filter design

Painter, John H.; Kerstetter, D.; Jowers, S. (IEEE, 1990-11)

The deterministic design of the alpha-beta filter and the stochastic design of its Kalman counterpart are placed on a common basis. The first step is to find the continuous-time filter architecture which transforms into ...
Knowledge-based control

Painter, John H. (IEEE, 1992-03-17)

Knowledge-based control is defined here as the management of dynamic systems whose states admit qualitative modeling. Contributions from several disparate disciplines, such as artificial intelligence, the decision sciences, ...
Fuzzy decision and control, the Bayes context

Painter, John H. (IEEE, 1993-12-15)

This paper shows how it is that fuzzy control may be viewed as a particular kind of stochastic (Bayesian) control. With the Bayes approach, fuzzy control may be viewed as an ensembled-average control, where the average is ...
A fuzzy-tuned adaptive Kalman filter

Painter, John H.; Young Hwan Lho (IEEE, 1993-12-01)

In this paper, fuzzy processing is applied to the adaptive Kalman filter. The filter gain coefficients are adapted over a 50 dB range of unknown signal/noise dynamics, using fuzzy membership functions. Specific simulation ...
Hypertrapezoidal fuzzy membership functions

Painter, John H.; Kelly, W. E. III (IEEE, 1996-09-08)

The authors present a method for representing N-dimensional fuzzy membership functions. The proposed method is a generalization of the one-dimensional trapezoidal membership function commonly used in fuzzy systems. The ...
Decision support for the general aviation pilot

Alcorn, W. P.; Lee, K. A.; Ward, D. T.; Trang, J. A.; Krishnamurthy, K.; Crump, J. W.; Branham, P. A.; Woo, D. L. Y.; Ren-Jye Yu; Robbins, A. C.; Painter, John H.; Kelly, W. E. III (IEEE, 1997-10-12)

Increasing air traffic control (ATC) requirements raises the workload of pilots. Required tasks dictate more “head-in-the-cockpit” computation, which can easily distract a pilot from safe airplane operation. Following eight ...