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Time series analysis in the frequency domain
IEEE Instrumentation and Measurement Technology Conference Sensing, Processing, Networking. IMTC Proceedings, 2002This paper presents a parametric frequency domain identification algorithm for autoregressive moving average (ARMA) processes that does not suffer from spectral leakage errors. It is based on an extended transfer function model that takes into account the begin and end effect of the finite data record.
Pintelon, Rik +2 more
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Frequency domain analysis of rotational motion
Multidimensional Systems and Signal Processing, 1993Frequency domain analysis of moving imagery is quite informative with respect to spectral estimation and coding techniques based on short-time Fourier transform and wavelet transform. The frequency domain analysis for translations [see the first and the third author, IEE Trans. Pattern Anal. Machine Intell. 15 (1993) and the first author and \textit{G.
Guido M. Cortelazzo +2 more
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Frequency domain analysis of HOSM systems
2015 54th IEEE Conference on Decision and Control (CDC), 2015The frequency domain analysis of dynamically perturbed Higher Order Sliding Mode (HOSM) systems is tackled using Describing Function (DF) and Harmonic Balance (HB) techniques. The goal of this analysis is to study possible limit cycles in such systems. DFs of Nested 3rd and 4th order algorithms are obtained for the first time. Then, HB equation is used
Antonio Rosales +3 more
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Identification and Error Analysis in Frequency Domain
First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06), 2006The identification algorithm and error analysis are considered in frequency domain by using discrete Fourier transform and spectral analysis. A simple algorithm to estimate the signal spectra is proposed and the property of the estimation is analyzed. The feature of the proposed algorithms is that they can be implemented very easily and the information
Lianming Sun, Akira Sano
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Analysis of heterodyne detection in the frequency domain
Applied Optics, 2015As opposed to previous works, our research on heterodyne detection is performed in the frequency domain. Based on the planar wave, it is pointed out that the current amplitude of a heterodyne signal is proportional to the spectrum value of the quantum efficiency function of a detector, and the frequency corresponding to the value is decided by the beam'
Hongzhou, Dong +3 more
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1988
The analysis of electrical signals is a fundamental problem for most engineers. As we have seen, even if the basic problem is not electrical, the parameters of interest are usually changed from pressure, force, temperature etc. into an electrical quantity by means of transducers.
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The analysis of electrical signals is a fundamental problem for most engineers. As we have seen, even if the basic problem is not electrical, the parameters of interest are usually changed from pressure, force, temperature etc. into an electrical quantity by means of transducers.
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2001
Although the differential equation is a basic system description, obtaining this equation can be tedious and time-consuming. Consequently for a time-invariant system this approach is avoided in practice, except in special cases. The Fourier and Laplace transforms offer an alternative approach for characterizing and analyzing these systems. Insight into
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Although the differential equation is a basic system description, obtaining this equation can be tedious and time-consuming. Consequently for a time-invariant system this approach is avoided in practice, except in special cases. The Fourier and Laplace transforms offer an alternative approach for characterizing and analyzing these systems. Insight into
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A Frequency Domain Analysis of Learning Control
Journal of Dynamic Systems, Measurement, and Control, 1994The convergence of learning control is traditionally analyzed in the time domain. This is because a finite planning horizon is often assumed and the analysis in time domain can be extended to time-varying and nonlinear systems. For linear time-invariant (LTI) systems with infinite planning horizon, however, we show that simple frequency domain ...
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