power spectrum

power spectrum

A plot of the power contained in a signal versus the frequency, or of the power in a spatial distribution versus the wavenumber (reciprocal of wavelength). It may be obtained by taking a Fourier transform of the signal or distribution and squaring the amplitude of each component in the result.

power spectrum

[′pau̇·ər ‚spek·trəm]
(physics)
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GSES sessions cover a broad spectrum of topics relating to smart energy solutions, with 3 days of conferences expected to attract over 700 attendees exploring reform patterns across the entire power spectrum.
When I posted the echo power spectrum and collage of images [on August 29th], I didn't think there was any sign of a companion," says Benner.
The noise power spectrum is subtracted from the power spectrum of noisy speech to obtain an estimate of the power spectrum of the desired speech as follows:
Lindstrom and Magnusson (1977) were the first to propose a mathematical model which describes the power spectrum of the surface electromyogram (sEMG) in terms of the conduction velocity of muscles fibres.
Right about then I had begun building AR-15s for myself and others (not as a dealer/manufacturer, simply assembling) and had several accurate ,223s, so I reasoned that I ought to go to the other end of the power spectrum and went whole-hog with the .
As for the acoustic noise, power spectrum peak values at the range of (f - [DELTA]f) and (f + [DELTA]f) indicates the acoustic noise levels [19], In terms of current quality, line current harmonics were obtained and compared for three methods.
Chicago, IL, USA) was used for data analysis on EEG activity before and during the exposure of AEO by a paired Student's t-test based on the EEG power spectrum values (nasal as well as gender differences).
The power spectrum of the signal x(n) is calculated from the spectral component as follows:
DFT was also used on ECG and chin EMG channels to obtain mean power spectrum and spectral entropy values for these channels.
Priestley [20] proposed the concept of an evolutionary spectrum by generalizing the power spectrum of a stationary random process.
We hone in on the high power spectrum and lock into it, maximising the power we can harvest.
Another 20 poster papers consider such topics as constraints on inflationary features in the primordial power spectrum with the Planck data, modeling the hierarchical evolution of galaxy clusters, future constraints on scalar field driven dark energy coupled with electromagnetism, looking for primordial non-Gaussianity using Minkowski functionals and neural networks, new constraints on interacting dark energy from Planck experiments, and a new geometrical approach to void statistics.