Results 221 to 230 of about 2,138,913 (261)
Frequency-aligned loss and spectral filtering improve long-range influenza forecasting. [PDF]
Front Public HealthFeng T, Luo C, Huang Y.
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SARCDNet-an enhanced deep learning network for change detection from bi-temporal SAR images. [PDF]
Sci RepKevala VD +4 more
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2014
So far, we have mostly examined the response of dynamic systems to relatively simple inputs: impulses, steps, and ramps. While we have used Matlab ® to calculate the response of systems to more complex inputs numerically, there are also analytical methods that can be used to identify the response of systems to inputs of a general form.
Matthew A. Davies, Tony L. Schmitz
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So far, we have mostly examined the response of dynamic systems to relatively simple inputs: impulses, steps, and ramps. While we have used Matlab ® to calculate the response of systems to more complex inputs numerically, there are also analytical methods that can be used to identify the response of systems to inputs of a general form.
Matthew A. Davies, Tony L. Schmitz
+4 more sources
2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2016
In this paper it is presented the second stage analysis used to determine the signal quality coefficient for vibro-acoustic signals. After successfully determining the integrity coefficient in the “first stage analysis on determining the Signal Quality Coefficient in vibro-acoustic domain-waveform integrity analysis” paper a second and deeper analysis ...
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In this paper it is presented the second stage analysis used to determine the signal quality coefficient for vibro-acoustic signals. After successfully determining the integrity coefficient in the “first stage analysis on determining the Signal Quality Coefficient in vibro-acoustic domain-waveform integrity analysis” paper a second and deeper analysis ...
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Frequency-Domain Circuit Analysis
1999The sections in this article are 1 Frequency-Domain Circuit Equations 2 State Equations 3 Network Functions 4 Two-Sided Laplace and Fourier Transforms in Circuit Analysis 5 Applications of Frequency-Domain ...
BIEY, MARIO, MAIO I.
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2003
The results discussed in chapter 3 reveal the existence of trends in the data. The results from trend tests, however, suggest that this variability is more likely to be non-monotonic in nature; i.e. periodic or cyclic. Spectral analysis in the frequency domain is suitable for analyzing cyclic behavior in time series. The basic idea of spectral analysis
A. Ramachandra Rao +2 more
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The results discussed in chapter 3 reveal the existence of trends in the data. The results from trend tests, however, suggest that this variability is more likely to be non-monotonic in nature; i.e. periodic or cyclic. Spectral analysis in the frequency domain is suitable for analyzing cyclic behavior in time series. The basic idea of spectral analysis
A. Ramachandra Rao +2 more
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1983
By frequency-domain analysis one generally means an analysis of systems based on representing input and output as linear combinations of sinusoidal functions. Such an analysis is most useful for studying the steady-state behavior of linear and time-invariant systems.
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By frequency-domain analysis one generally means an analysis of systems based on representing input and output as linear combinations of sinusoidal functions. Such an analysis is most useful for studying the steady-state behavior of linear and time-invariant systems.
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Psychoacoustic audio analysis in frequency domain.
The Journal of the Acoustical Society of America, 2010When evaluating the loudness sensation of an acoustical signal, the concept of energy summation in terms of the frequency components of the signal must be reformulated. There are 2 standardized methods for the calculation of the loudness of a signal.
Osses, Alejandro +2 more
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1993
Signal averaging is a gated summation of high temporal resolution surface ECG signals from several hundred beats, resulting in a high signal-to-noise ratio1. The technique has been used to study low voltage potentials at the end of the QRS complex2–12. These studies revealed high frequency low-amplitude signal in the terminal segment of the QRS complex
Josef Machac, J. Anthony Gomes
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Signal averaging is a gated summation of high temporal resolution surface ECG signals from several hundred beats, resulting in a high signal-to-noise ratio1. The technique has been used to study low voltage potentials at the end of the QRS complex2–12. These studies revealed high frequency low-amplitude signal in the terminal segment of the QRS complex
Josef Machac, J. Anthony Gomes
openaire +1 more source