THE EFFECT OF FIELD OF VIEW ON STAR FIELD IDENTIFICATION
Effect of field of view and orientation on time required for star field identification - pattern recognition
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Effect of field of view and orientation on time required for star field identification - pattern recognition
Identification and control of linear dynamic systems with unknown parameters
Nonlinear process identification using statistical pattern matrices
Extreme ultraviolet solar emission line intensities and identifications in tabular form
Quasi-random binary pseudonoise code for process identification scheme for adaptive control system
Learning technique incorporating feature selection and decision theory for finite memory nonlinear process identification
Stereo-chromatographic compressed paper pulp blocks for preparative chemical isolation and identification
Structural identification of geometric isomer of tetrameric phenylphosphonitrilic chloride via IR SPECTROSCOPY and proton nuclear magnetic resonance
Statistical formulation of estimation and combined identification and control problems of nonlinear dynamical systems
Comparison of cross correlation and orthogonalized exponential analyses by regression analysis for identification of human pilot dynamic response characteristics
Lunar occultation and provisional identification of radio source MSH 19-27
Identification of uncommon noncrystalline solids as real glasses
Identification and control method applied to pitch control of flexible launch vehicle
Tree species identification by differing density responses in several channels of electromagnetic spectrum
Physical properties of uncommon noncrystalline amorphous silica, alumina, magnesium fluoride and gold-silicon alloy examined for identification as glasses
Parameter indeterminacy in system identification for mathematical model with adjustable parameters matched to system output by feedback
Lunar occultation and identification of MSH 19-27 radio source, noting computer analysis of brightness distribution
Nonlinear and nonstationary finite differential system identification by quasi-linearization and differential approximation