An approach to postlaunch vector-sensor alignment calibration is proposed which provides optimal estimates of sensor misalignments based on ground-testing results and inflight data. two types of algorithms are presented which would be applicable either to spacecraft which determine attitude from… More

The fabrication of multielectrodes for chronic, simultaneous recording of single neurons in tissue cultures, peripheral nerves, hippocampus, and cerebral cortex has progressed to the point where the volume of single-unit data is now significant. recent advances in signal processing are being used by… More

The concept of using recursive estimation methods for geomagnetic field modeling was demonstrated (by bts) in a previous limited investigation. the research proposed here attempts to solve some of the problems encountered in that study so that the full potential of the recursive estimation approach… More

A crucial requirement for successful battle management in a ballistic missile defense (bmd) system is performance of the tracking/correlation function. due to the fact that the defense system itself may be under attack, it is important to use a decentralized tracking/correlation architecture to… More

A variety of probes of brain function have been developed byclinicians and neuroscientists based on measurement of scalp-recorded electrical potentials evoked by specific stimuli, so-called evoked potentials (eps). signal enhancement of eps is typically accomplished by ensemble averaging. in this… More

Offered here is a parametric study of an algorithm for determining target range from a sequence of target direction angles and target emission frequencies as acquired at a single-site, passive esm receiver facility. the algorithm, which formally adjoins the lateral information content of the angular… More

Recently, a new technique for modelling the flow of data through an information processing system has been developed. it has received limited testing on computer systems and local area networks. this testing has shown that the technique, based on analyzing the information flow as a fluid flow, is… More

Current methods for system identification for nonlinear markov processes are restricted to very special forms or provide poor approximations to optimal procedures. the objective of the phase i research is to demonstrate the technical feasibility of using state affine markov processes and canonical… More