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Frequency Domain Analysis

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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Analysis and Synthesis in the Frequency Domain

1997
This chapter begins with a brief discussion of the Nyquist stability criterion and recalling the important concepts of gain and phase margins. Next, the feedback specification for single-input single-output system is discussed, together with various representations of the unstructured uncertainty, robust performance, and robust stability.
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Time series analysis in the frequency domain

IEEE Transactions on Signal Processing, 1999
This correspondence 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.
Rik Pintelon, Johan Schoukens
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Psychoacoustic audio analysis in frequency domain.

The Journal of the Acoustical Society of America, 2010
When 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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Frequency-Domain Analysis

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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Frequency domain discriminant analysis of the electroencephalogram

Psychophysiology, 1997
AbstractA frequency domain generalization of the classical quadratic discriminant function was applied to the problem of classifying alpha‐band multichannel electroencephalogram recordings in three task conditions. The data consisted of 41‐channel recordings obtained in eyes closed, verbal, and spatial task conditions.
J C, Lind   +3 more
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Analysis of heterodyne detection in the frequency domain

Applied Optics, 2015
As 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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Time series analysis in the frequency domain

IEEE Instrumentation and Measurement Technology Conference Sensing, Processing, Networking. IMTC Proceedings, 2002
This 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

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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Frequency Domain Analysis

Abstract This chapter reviews the essentials of the harmonic analysis of fractional processes in the frequency domain. Section 1 briefly sets out the theory of harmonic analysis and defines concepts such as transfer function and spectral density. Section 2 shows how this theory applies to the fractional model. Section 3 considers partial
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