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Institution

Lockheed Missiles and Space Company

About: Lockheed Missiles and Space Company is a based out in . It is known for research contribution in the topics: Angle of attack & Aerodynamics. The organization has 1442 authors who have published 1435 publications receiving 32761 citations.


Papers
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Journal ArticleDOI
TL;DR: A probabilistic neural network that can compute nonlinear decision boundaries which approach the Bayes optimal is formed, and a fourlayer neural network of the type proposed can map any input pattern to any number of classifications.

3,772 citations

Journal ArticleDOI
TL;DR: In this paper, the problem of estimating the states of linear dynamic systems in the presence of additive Gaussian noise is considered and the results for discrete systems are formally extended to continuous systems.
Abstract: This paper considers the problem of estimating the states of linear dynamic systems in the presence of additive Gaussian noise. Difference equations relating the estimates for the problems of filtering and smoothing are derived as well as a similar set of equations relating the covariance of the errors. The derivation is based on the method of maximum likelihood and depends primarily on the simple manipulation of the probability density functions. The solutions are in a form easily mechanized on a digital computer. A numerical example is included to show the advantage of smoothing in reducing the errors in estimation. In the Appendix the results for discrete systems are formally extended to continuous systems.

1,700 citations

Journal ArticleDOI
TL;DR: The primary problem dealt with in this paper is the specification of a descriptive scheme, and a metric on which to base the decision of "goodness" of matching or detection.
Abstract: The primary problem dealt with in this paper is the following. Given some description of a visual object, find that object in an actual photograph. Part of the solution to this problem is the specification of a descriptive scheme, and a metric on which to base the decision of "goodness" of matching or detection.

1,536 citations

Journal ArticleDOI
TL;DR: An algorithm is created that can be used to predict the behavior of the beam when the base undergoes general three-dimensional motions, and fundamental flaws in certain multibody computer programs currently under development or already in use are drawn attention to.
Abstract: The behavior of a cantilever beam built into a rigid body that is performing a specified motion of rotation and translation is studied with two objectives in mind. First, because the subject is of interest in connection with spacecraft antennae, helicopter rotor blades, robot arms, and other systems that perform complex motions, we create an algorithm that can be used to predict the behavior of the beam when the base undergoes general three-dimensional motions. Effects such as centrifugal stiffening and vibrations induced by Coriolis forces are accommodated automatically, rather than with the aid of ad hoc provisions. The second objective is to draw attention to fundamental flaws in certain multibody computer programs currently under development or already in use. To this end, we construct a second simulation algorithm, one that embodies the procedure apparently employed in the programs in question, and then compare simulation results produced by computer programs based on the two algorithms. Conflicts between the two approaches that thus come to light are discussed in detail.

710 citations


Authors

Showing all 1442 results

NameH-indexPapersCitations
Mark H. Ellisman11763755289
T.G. Nieh7336419464
Chris R. Fuller473329612
Carlos A. Felippa421606080
Jeffrey Wadsworth401396529
Charles R. Steele381604168
Alex J. Dragt261183037
Antony C. Fraser-Smith261192803
L. E. Ericsson261302175
Eldon R. Hansen25634983
Lars E. Ericsson21911603
J. P. Reding20901440
David Bushnell20471449
Rick Lytel19591700
Travis Winsor18711052
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20101
20011
19981
19973
19967
199530