APPLICATION OF GENETIC ALGORITHM TO MEASUREMENT SYSTEM CALIBRATION INTENDED FOR DYNAMIC MEASUREMENT
Journal Title: Metrology and Measurement Systems - Year 2006, Vol 13, Issue 1
Abstract
The paper presents an application of the genetic algorithm method for calibration of measurement systems intended for the measurement of dynamic signals. The process of calibration is based on the determination of the maximum value of a chosen error criterion. The solutions presented in the paper refer to the integral-square error if the magnitude and rate of change constraints are imposed simultaneously on the calibrating signal. The practical application of the presented algorithm has been illustrated on the example of sixth order low-pass system calibration.
Authors and Affiliations
KRZYSZTOF TOMCZYK
FORMAL DEFINITION AND PROPERTIES OF FEB-BASED ENOB OF INTELLIGENT CYCLIC ADC
The paper presents a new approach to the measurement of effective resolution (effective number of bits - ENOB) of the cyclic A/D converters (CADCs). The core idea of the approach is a direct measurement of ENOB using, as...
ADC AND DAC MODELLING AND TESTING STATE OF THE ART
The analog to digital front ends of measuring instruments affect crucially the interpretation of the signals acquired from the real world into the digital domain and their back presentation. The signal processing in the...
A RELIABLE LOW-COST METHOD FOR ACCURATE CHARACTERIZATION OF ANTENNAS IN TIME DOMAIN
In this paper, a time domain-based approach to practical characterization of antennas is presented. The goal is to prove that time domain-based approach, after appropriate processing, represents an accurate and more prac...
ELIMINATION OF NONLINEARITY WITH DISCONTINUITIES (OF THE DEAD ZONE) FROM STATIC CHARACTERISTIC OF CONVERTER
The characteristics of real converters, including sensors, are - to a smaller or larger extent - nonlinear. Nonlinearity may result from the technologies applied to produce the converter or from the type of processing to...
RANKINGS AS ORDINAL SCALE MEASUREMENT RESULTS
Rankings (or preference relations, or weak orders) are sometimes considered to be non-empirical, non-objective, low-informative and, in principle, are not worthy to be titled measurements. A purpose of the paper is to de...