Milos Sedlacek
Czech Technical University in Prague
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Publication
Featured researches published by Milos Sedlacek.
Measurement | 1998
Milos Sedlacek; Michal Titěra
Abstract The paper describes two methods of leakage reduction in DFT spectrum analysis using interpolation techniques — interpolation and resampling in the time domain (I/RTD) and windowing and interpolation in the frequency domain (W/IFD). Basic properties of both methods are summarized and compared and the efficiency of the methods is demonstrated both on sinusoidal and a multitone signals. Results of both computer simulations and measurements using common DAQ PC plug-in boards are presented. Using a combination of both methods is suggested as a possible alternative to the strict signal/sampling synchronization prescribed in international standards for instrumentation suggested for harmonic component analysis in LF EMC measurements when no windowing is used.
instrumentation and measurement technology conference | 2010
David Slepicka; Dusan Agrez; Rado Lapuh; Emilia Nunzi; Dario Petri; Tomáš Radil; Johan Schoukens; Milos Sedlacek
This paper deals with the performance of several up-to-date nonparametric frequency estimators. The algorithms of frequency estimation are introduced and their bias, standard deviation and consumption time are compared with regard to the most common signal parameters.
Measurement | 1993
Milos Sedlacek
Abstract The purpose of this paper is to describe methods of finding errors of instruments measuring the amplitude probability distribution of signals. Definitions of errors are introduced and testing using periodical and pseudo-random test signals is described. Some illustrative experimental results are shown from which it can be seen that the errors of statistical analyzers depend on the type of test signal used. The cause of this fact is explained. The merits of sinusoidal, saw-tooth and pseudo-random test signals are compared and the use of a sinusoidal signal with slight overrange or software correction of marginal parts of the error curves is recommended for the comparison of the accuracy of different types of statistical analyzers.
Measurement | 2008
Martin Novotny; Milos Sedlacek
Measurement | 2004
Milos Sedlacek; J. Blaška
Measurement | 2009
Martin Novotny; Milos Sedlacek
Computer Standards & Interfaces | 2010
Martin Novotny; Milos Sedlacek
Metrology and Measurement Systems | 2011
Milos Sedlacek; Zdenek Stoudek
Measurement | 2010
Milos Sedlacek; Zdenek Stoudek
Archive | 2009
Milos Sedlacek; Zdenek Stoudek