A Generalized Method of Decreasing Data Redundancy

نویسندگان

چکیده

In this paper, a method of decreasing the redundancy information flow by using recurrent properties Galois code sequences is proposed. For purpose, service compiled and priority compression identified. The based on applying one adaptive algorithms (prediction first-order, interpolation zero-order, first-order) comparing efficiency its use when applied to selected fragments signal. It shown that developed effective for quick-change signals structure behavior signal change drastically. at different sampling rate number significant samples evaluated. This makes it possible establish limits positive effect flows existing methods. Experimental research carried out various permissible deviations with obtaining readings. A comparison obtained data results methods in deep pumping installations proved proposed 1.3 times more than ones.

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ژورنال

عنوان ژورنال: International Journal of Computing

سال: 2022

ISSN: ['2312-5381', '1727-6209']

DOI: https://doi.org/10.47839/ijc.21.4.2786