Results 231 to 240 of about 4,622,355 (269)
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TDAT-time domain analysis tool for EEG analysis
IEEE Transactions on Biomedical Engineering, 1990An interactive design and analysis tool for displaying and quantifying multiple channels of data is presented. The system allows one to easily visualize multiple data channels and simultaneously observe the effects of filters on the data and to evaluate signal detection algorithms.
S, Park +3 more
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Robust time-domain frequency analysis
SPIE Proceedings, 1992One domain in which the ordering filters have not appeared is frequency analysis. Simultaneously one must note that the impulse rejection properties of the ordering filters could be very beneficial due to the lack of robustness of the DFT/FFT. Another problem with the DFT/FFT is the ambiguity of the estimate of frequency at a point (frequency ...
Daniel Shelton, Harold G. Longbotham
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IEEE Computer Applications in Power, 1992
The program Power Electronic Circuit Analysis (PECAN), which has been made to handle some power engineering applications not suited for SPICE or EMTP, is discussed. Time functions of voltages, currents, torque, angular speed, power, and other derived quantities can be calculated and plotted on the screen a printer, or a plotter.
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The program Power Electronic Circuit Analysis (PECAN), which has been made to handle some power engineering applications not suited for SPICE or EMTP, is discussed. Time functions of voltages, currents, torque, angular speed, power, and other derived quantities can be calculated and plotted on the screen a printer, or a plotter.
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Optimizing Time-Domain Network Analysis
46th ARFTG Conference Digest, 1995In this work, we demonstrate how changes in sample density, time-window size, and waveform averaging affect the accuracy and acquisition time of calibrated time-domain network analysis. One of the key results from this study is that accuracy can be enhanced by eliminating the incident step-edge signal from the time-domain reflection waveform before ...
Donald C. DeGroot, Roger B. Marks
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2010
This chapter describes numerical integration methods for transient stability analysis. Section 8.1 provides a qualitative justification of the need for numerical integration and describes intrinsic limitations of Lyapunov’s direct method. Section 8.2 describes two common models for time domain analysis, namely the current-injection and the power ...
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This chapter describes numerical integration methods for transient stability analysis. Section 8.1 provides a qualitative justification of the need for numerical integration and describes intrinsic limitations of Lyapunov’s direct method. Section 8.2 describes two common models for time domain analysis, namely the current-injection and the power ...
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Accurate time-domain semisymbolic analysis
2010 XIth International Workshop on Symbolic and Numerical Methods, Modeling and Applications to Circuit Design (SM2ACD), 2010The paper deals with a method for accurate semisymbolic time-domain analysis of highly idealized linear lumped circuits. Pulse and step responses can be computed by means of the partial fraction decomposition. The procedure relies on an accurate computation of poles of the transfer function.
Zdenek Kolka +2 more
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Opto-mechanical time domain analysis
Asia Communications and Photonics Conference/International Conference on Information Photonics and Optical Communications 2020 (ACP/IPOC), 2020we demonstrated a 2-meter spatial resolution opto-mechanical measurement over a 225-meter-long fiber in which we were able to distinguish air from alcohol. These advances greatly facilitate the practicability of forward stimulated Brillouin scattering.
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The signal-averaged ECG: Time-domain analysis
European Heart Journal, 1993During the past decade, the high-resolution electrocardiogram as a non-invasive technique for the detection of ventricular late potentials has developed from an experimental method into a routinely applied non-invasive method for risk stratification of patients after myocardial infarction.
G, Breithardt +6 more
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1991
In the frequency domain discussed in the previous chapter, a spectral approximation is used for an arbitrary second-order stationary time series ..., y -1, y 0, y 1,.... In the traditional approach, the variance components in the spectral approximation will be nonzero, thus there is little chance of developing a parsimonious model.
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In the frequency domain discussed in the previous chapter, a spectral approximation is used for an arbitrary second-order stationary time series ..., y -1, y 0, y 1,.... In the traditional approach, the variance components in the spectral approximation will be nonzero, thus there is little chance of developing a parsimonious model.
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Intracranial pressure monitoring by time domain analysis
Journal of the Royal Society for the Promotion of Health, 1998This paper discusses the developments in the assessment of intracranial hypertension in humans and recent research carried out by the authors on the techniques for the non-inva sive measurement of intracranial pressure. A brief historical review sets the scene with regard to clinical and invasive methods for the observation of intracranial pressure ...
Penson, R.P, Allen, R.
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