Accumulated clock signal jitter is a significant source of errors in many measurement systems. In this paper a new method of estimation of clock signal jitter will be discussed. This method enables to calculate an accumulated jitter and time-interval error [TIE] as a function of the clock cycles. The time-interval measurement system [TIMS], accommodated for jitter measurements and their application for estimations of jitter parameters will be also presented and discussed.

The optimal design of an adaptive wavelet filter based on lifting scheme by means of evolutionary cultural algorithms is proposed, with the aim of filtering data for dynamic corrosion monitoring. First, in corrosion rate measurement through electrochemical impedance spectroscopy, the problem of uncertainty due to noise arising from underground disturbances in buried structures is stated. Then, the proposed adaptive filtering procedure is illustrated. Finally, the results of the experimental validation on two different corrosion case studies are highlighted.

In order to identify if a subscriber loop is suitable for DSL service, the transfer function of the loop has to be estimated. Several measurement techniques exist, however Single Ended Line Testing is gaining much attention lately. This method allows only measuring at the central office side and yields a reflectogram. One of the critical issues in the estimation of the transfer function from this data is the correct extraction of the features of the reflectogram. This paper presents a new feature extraction algorithm for a previously reported transfer function estimator. It starts by explaining the previously reported algorithm. Its main drawbacks are modelling errors and loss of information due to the iterative approach. The paper explains how the new algorithm tackles these problems. The new method strongly relies of the first and second derivatives of the reflectogram, which is a completely new approach. Finally, the efficiency of both algorithms is compared. The improvements are both in terms of accuracy and identification time.

Sun sensors are used to measure the orientation of the satellite in orbit using the sun as a reference. This paper includes the preliminary design of a sun sensor, the design and implementation of an automatic testing system and a preliminary characterization of the most important components.

In this paper it is shown that for the purpose of nonlinear power amplifier behavioural modelling, the sampling rate can be set to the Nyquist rate of the input signal, rather than to the Nyquist rate of the output signal by making use of Zhu’s generalized sampling theorem. This claim is supported by measurements on a basestation power amplifier. The findings are that the model error obtained when the output signal is sampled at the Nyquist rate of the input signal is approximately 1.5 dB higher than when the sampling rate is set to the Nyquist rate of the output signal. However, if a sampling rate of twice the Nyquist rate of the input signal is used, which is still typically, much lower than the Nyquist rate of the output signal, the degradation is only 0.2 dB. These are important findings that will substantially ease the requirements on ADCs used in measurement setups used for amplifier modelling.