METHOD FOR COLLECTING AND PROCESSING TIME-SERIES DATA UTILIZING AUTOREGRESSIUE MODEL AND SIGNIFICANT-SIGNAL EXTRACTING SYSTEM FROM TIME-SERIES DATA UTILIZING AUTOREGRESSIVE MODEL

摘要

PROBLEM TO BE SOLVED: To make it possible to extract an arbitrary significant signal embedded in noises excellently by setting the transfer function of the respective autoregressive coefficients obtained from a significant signal part and a noise part, constituting highlighting and blocking filters, and processing the time-series data through the filters. ;SOLUTION: The data collected with a data collecting means 1 are inputted into highlighting-filter operating means 6₁ and 6₂ and a blocking-filter operating means 7 through a data switching means 5, and the respective autoregressive coefficients are computed. The transfer functions of the highlighting filters and the blocking filter are set at the respective highlighting and blocking filters F₁ and F₂ so that the transfer functions are internally present as the quotient patterns. A data processing means 4 monitors the data after passing the respective highlighting and blocking filters F₁ and F₂ at the voltage level in real time. When the voltage level of the data is higher than a preset level, the acceptance of the original data is continued as the data including the significant signal. When the data become lower than the preset level, the background noises are accepted. Thus, the characteristic quantity is extracted.;COPYRIGHT: (C)1998,JPO