Processing of tactual and visual point stimuli sequentially presented at high rates
Performance differences between tactile and visual localization and temporal ordering ability, using sequential presentation of high rate point stimuli
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Performance differences between tactile and visual localization and temporal ordering ability, using sequential presentation of high rate point stimuli
Modular component computational algorithm for sequential least squares estimation /filtering/ with process noise for straightforward computer code conversion
Memory cell fault tolerant sequential machine synthesis, considering masking feasibility and lower bounds on minimum redundancy
Spacecraft-borne IR sequential filter radiometer design and performance for real time meteorological forecasting and atmospheric temperature measurements
Fano and stack algorithms comparison by computer simulation of two sequential decoding algorithms
Least squares and sequential estimation techniques application to Mariner 6 and 7 tracking data analysis, verifying Einstein relativity theory on electromagnetic radiation propagation
Batch and sequential consider filters data processing methods for Mars orbiting spacecraft state estimation, investigating error sources
Sequential processor performance prediction error with linear method from Monte Carlo cycle analysis of Apollo 14 early rendezvous profile
Utilizing arrays of sequentially-excited piezoelectric elements to provide motion in a nonmagnetic motor provide built-in redundancy and long life required for deployment or actuation of devices on spacecraft. Linear-motion motor devices can also be fabricated.
Operation of sequential decoding of data at high rates using Fano algorithm is discussed. Actions followed by decoder in systematically searching branches are described. Technique of diagonal steps is explained and illustrated.
Some sequential, distribution-free pattern classification techniques are presented. The decision problem to which the proposed classification methods are applied is that of discriminating between two kinds of electroencephalogram responses recorded from a human subject: spontaneous EEG and EEG driven by a stroboscopic light stimulus at the alpha frequency. The classification procedures proposed make use of the theory of order statistics. Estimates of the probabilities of misclassification are given. The procedures were tested on Gaussian samples and the EEG responses.
Sequential decoding problems considered deal with reliable transmission through noise space channels and encoding of space sources for the purpose of data suppression.
The error variance of the process prior multivariate normal distributions of the parameters of the models are assumed to be specified, prior probabilities of the models being correct. A rule for termination of sampling is proposed. Upon termination, the model with the largest posterior probability is chosen as correct. If sampling is not terminated, posterior probabilities of the models and posterior distributions of the parameters are computed. An experiment was chosen to maximize the expected Kullback-Leibler information function. Monte Carlo simulation experiments were performed to investigate large and small sample behavior of the sequential adaptive procedure.
Description of a class of rate 1/2 nonsystematic convolutional codes with the following desirable properties: (1) an undetected decoding error probability verified by simulation to be much smaller than for the best systematic codes of the same constraint length; (2) computation behavior with sequential decoding verified by simulation to be virtually identical to that of the best systematic codes; (3) a ?quick-look-in' feature that permits recovery of the information sequence from the hard-decisioned received data without decoding simply by modulo-two addition of the received sequences; and (4) suitability for encoding by simple circuitry requiring less hardware than encoders for the best systematic codes of the same constraint length. Theoretical analyses are given. These codes have been adopted for use in several forthcoming space missions.
This paper describes a sequential decoding machine built at the Jet Propulsion Laboratory (JPL), which uses a 3-bit quantization of the code symbols and achieves a computation rate of MHz. This machine is flexible and can be programmed to decode any complementary convolutional code with rates down to 1/4 and constraint lengths up to 32. In addition, metric programmability is provided for optimization of decoder performance with respect to channel parameter variations.
A method is presented for sequentially testing the consistency of actual and calculated error covariances in recursive nonlinear estimators, such as the extended Kalman filter. An equivalent simplified test is described briefly. The method is useful for linear filters as well, where inconsistencies may be caused by modeling inaccuracies.
A class of finite-state sequential systems evolving in groups is considered. It represents a broader class of input-output relations than those found in linear system theory. The concepts of controllability, observability, minimality, realizability, and the isomorphism of minimal realizations are developed. Results that are analogous to, but differ in essential details from, those of linear system theory are derived. Algorithmic design and algebraic decoding may benefit from these results.
Semi-automatic crop inventory from sequential ERTS-1 imagery for Imperial Valley, California