AN AUTOMATIC SYSTEM FOR IDENTIFICATION OF RANDOM TELEGRAPH SIGNAL (RTS) NOISE IN NOISE SIGNALS
Journal Title: Metrology and Measurement Systems - Year 2007, Vol 14, Issue 2
Abstract
In the paper the automatic and universal system for identi.cation of Random Telegraph Signal (RTS) noise as a non-Gaussian component of the inherent noise signal of semiconductor devices is presented. The system for data acquisition and processing is described. Histograms of the instantaneous values of the noise signals are calculated as the basis for analysis of the noise signal to determine the number of local maxima of histograms and to evaluate the number of RTS noise levels. The presented system does not need supervisor control of identi.cation results.
Authors and Affiliations
BARBARA STAWARZ-GRACZYK, DARIUSZ, ZAŁĘSKI, ALICJA KONCZAKOWSKA
THERMAL PROPERTIES OF RUBIDIUM FREQUENCY STANDARD
The principle of rubidium standard operation is presented in the paper, with special attention to the influence of temperature on the components of the standard. Next, measurement results of the frequency of the output s...
DATA FUSION APPLICATIONS IN THE TRAFFIC PARAMETERS MEASUREMENT
In the paper the problem of measuring road traffic parameters using systems with complex algorithms for measurement data processing is discussed. A characteristic feature of these systems is utilising there data fusion m...
OSCILLATORY MECHANICAL FLOWMETER - THEORETICAL ANALYSIS OF OPERATION
The paper proposes a method consisting in theoretical description of the main forces and related moments acting on a flowmeter oscillator. The mathematical analysis carried out has led to an equation representing the osc...
MEASUREMENT OF COMPLEX CONDUCTIVITY IN CARBON NANOTUBE POLYMER COMPOSITES UNDER MECHANICAL SHEAR
We measured the complex conductivity of carbon nanotube-polypropylene composites under mechanical shear conditions. In order to determine how flow alters the properties of these complex fluids we constructed a rheo-diel...
APPLICATION OF MONTE CARLO SIMULATION FOR THE EVALUATION OF MEASUREMENTS UNCERTAINTY<br />
The Monte Carlo procedure for evaluation of uncertainty in measurements is considered. Algorithms of formation correlation and non correlation data files of the input quantity estimated on types A and B are developed.