Stability properties of shaping filters.
Stable linear system /shaping filter/ synthesis transforming stationary white noise into random process having given covariance function
Brandenburg, L. H.↗
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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Low sensitivity filters for state estimation in the presence of large parameter uncertainties.
Minimax sensitivity criteria used to synthesize filters for estimating state of first order plant subject to dynamic and/or statistical parameters uncertainties
Dappolito, J. A.↗
The distributed-lumped-active network - Its application to filtering problems.
Distributed RC networks combined with lumped passive and active elements to produce distributed-lumped-active /DLA/ networks for filter requirements
Huelsman, L. P.↗
Diffusion filter eliminates fringe effects of coherent laser light source
Diffusion filter comprised of small particles in colloidal suspension reduces the coherence of a laser beam used as a photographic light source. Interference patterns which obscure details in photographic film are eliminated, the intensity and collimation are moderately affected.
Olsasky, M. J.↗
Design procedure for improved active filters
Synthesis technique for active filters gives high degree of accuracy for frequencies as high as 500 kHz and covers frequencies most used for telemetry. Frequency response can be realized within few percent of specified cutoff frequencies without need for tuning.
Gussow, S.↗
Theory and application of Kalman filtering
As a unified extension of a group of related mathematical procedures, Kalman filtering is of assistance in the design of aircraft- and ground-based guidance and navigation data reduction and display systems.
Teng, L.↗
Two techniques for digital filter design
Digital controllers, one using a special-purpose computer and the other using a combination of digital and analog techniques, are designed around /1/ computers that simulate the transfer function and interface with the system, and /2/ analog and digital circuits, converters, amplifiers, constant multipliers, and delay lines that form a digital filter.
Carroll, C. C.↗
Method of statistical filtering
Minimal formula for bounding the cross correlation between a random forcing function and the state error when this correlation is unknown is used in optimal linear filter theory applications. Use of the bound results in overestimation of the estimation-error covariance.
Battin, R. H.↗
Replaceable filters and cones for flared-tubing connectors
Connector is modified by machining the cone from one end before the fitting is bored to accommodate a metallic-filament type of slip-in filter. Thus, when surface of the cone is damaged, only the cone needs replacement.
Grant, L. E.↗
A hardware simulation of a lunar midcourse navigation system using statistical filter theory and hand-held sextant observations
Kalman filter theory and sextant measurements for lunar midcourse guidance and navigation simulation
Christensen, J. V.↗
Digital filtering for optimization of signals submerged in noise
Digital filtering for optimization of signals submerged in noise
Lee, S. Y.↗
No. 104. New multicolor filter photometry of Mars
Multicolor filter photometry of Mars
Mitchell, R. I.↗
Designers manual for electrical and electronic filters Final report
Handbook for designing electronic filters
Barbay, J.↗
Minimax design of low sensitivity filters for state estimation
Minimax design criteria of linear filters for state estimation in presence of parameter uncertainties
Dappolito, J. A.↗
A combination shutter and filter-changing mechanism
Combination shutter and filter changing mechanism of spacecraft vidicon camera operating on Mariner Mars 69 and 71 spacecraft
Cutts, J. A.↗
Nonlinear filtering techniques with applications to the strapdown attitude computation
Nonlinear filter algorithm for attitude computation in strapdown inertial navigation system
Lee, J. S.↗
Theory and Applications of Kalman Filtering
Kalman filtering applications in space navigation, underwater operations, surface navigation, and Gauss-Markov processes
C. T. Leondes↗
Modeling errors in Kalman filters
Algorithms for error effects due to modeling errors in Kalman filter for continuous and discrete systems
Nishimura, T.↗