Time-base Noise Reduction Method of Sampling Osciloscope

This paper proposes a method to increase precision of sampling oscilloscopes time-base then using a new hybrid time-base architecture. The traditional time-base of sampling oscilloscope has three kinds of time base error including time base drift, time base jitter and time base distortion. New hybrid time-base architecture allows to minimize this kind of errors.

An alternative to the geometric addition method for calculating the rise time of fast oscilloscopes and pulse generators

In this paper, we propose a new method for calculating the rise time of pulse generators and oscilloscopes using a correction factor. This new method is advantageous over the well known geometric rule, also known as the root-sum-of-squares (RSS) rule, because its corresponding uncertainty contribution can be estimated, whereas the uncertainty assigned to the RSS method due to systematic error is typically unknown in any given measurement scenario. In our method, the correction factor is estimated from a large set of representative classical response functions. Furthermore, the systematic error caused by the time base distortion of sampling oscilloscopes is corrected in order to reduce the uncertainty of the calibration process.

Sine-Fit Estimation of Time-Base Distortion Based on Inner-Triggering

This paper describes a new sine-fit method for estimating the time-base distortion based on inner-triggering mechanism. In order to improve the efficiency of the iteration, the method uses sub-iterations to get the iterative initial value. Since the instrument based on inner-triggering mechanism was difficult to measure orthogonal signals, the method does not require two sets of mutually orthogonal sinusoidal calibration signal, but requires multiple sinusoidal calibration signals with different phases and frequencies. The experiments show that the method is used to estimate the time-base distortion based on sequential equivalent sampling.