Browsing International Telemetering Conference Proceedings, Volume 11 (1975) by Authors
Detection and Discrimination of X-Ray Radiation SourcesBeresin, V. I.; Koslov, V. D.; Moskalenko, E. I.; Mishenkova, T. S.; Novikov, Yu. V.; Sviridenko, V. A.; Sannikov, V. G.; Institute for Space Research (International Foundation for Telemetering, 1975-10)While studying radiation sources in X-ray range by devices, carried to the near-Earth orbit, there appeares some problems, called by the necessity of uninterrupted scanning of the sky sphere and high speed of canals' test, which leads, consequently, to a considerable volume of data. Side by side with strong sources of radiation one shows great interest to the weak ones which may turn out to be unknown to the science stars. On detecting the source, it is necessary to get a number of parameters, characterizing its structure. Devices of the space station "Saljut 4", carried an enormous deposit into the study of sources in X-ray range. The analyses of results shows, that beside useful signal from X-ray telescopes, a considerable number of superfluous references enters the radioline. Highly effective algorythm of detection and discrimination of useful signals, allowing to raise the informational capability of radioline is represented in the work. Superfluous references, which are stipulated by a galactic background are excluded from the whole data stream. The use of this kind of algorythm allows to discriminate more legible the sources of radiation in on-board and on-Earth use. The effectiveness of this algorythm is shown in adaptation of experimental data, got from X-ray telescopes of the space station "Saljut-4".
New Adaptive Methods for Particles Flux Intensity Measurement Redundancy Reduction and Their EfficiencyEvdokimov, V. P.; Pokras, V. M.; Institute for Space Research (International Foundation for Telemetering, 1975-10)Particles flux intensity measurements redundancy reduction algorithms are proposed. Accuracy criteria consists in limiting of a samples relative error maximum value. The algorithms are based on prediction or interpolation operations with a variable threshold, adaptive to a changing flux intensity. A formula for computation of an adaptive threshold zero order predictor compression ratio is deduced. Computed values show good coincidence with those received by signal and algorithm computer simulation. Adapter threshold zero order predictor (AT-ZOP) and first order interpolator (AT-FOI) algorithms applied to real telemetry data reveal their high efficiency as relating to attainable compression ratios. Algorithms compression ratio comparison results in predictor advantage against interpolator and unsignificantly small predictor loss when preliminary data smoothing is applied. Compression ratios for joint application of background removal  and adaptive predictor algorithms are also evaluated. AT-ZOP simplicity and high efficiency allow to recommend it for use in particle flux intensity measurements redundancy reduction systems.
Runs of Significant Samples for Processes with Sharp Non-Stationarities: Application to Seismogram CompressionBabkin, V. F.; Rybeva, N. E.; Shtarkov, Yu. M.; Institute for Space Research (International Foundation for Telemetering, 1975-10)An algorithm for threshold compression of the processes with the sharp variations of a level is considered. In broadening the concept on an significant sample we are successful in transmitting completely almost all the samples appropriate to the phenomenon studied; at the same time the compression ratio at the quiet parts is kept at the acceptable level. The experimental results of seismogram compression are given.