power spectrum

(redirected from power spectrums)

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)
References in periodicals archive ?
This is done by the means of common mode (CM) and differential mode (DM) voltage power spectrums.
DM] power spectrums were obtained for each method as the motor was loaded by 5 N.
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.
Spectral entropy [9] is a function of the irregularity of amplitude and frequency of the power spectrums peaks.
Briefly, spectral entropy applies the standard Shannon entropy [13, 14] algorithm to a power spectrum, whereas sDFA applies the DFA algorithm in the same manner to the same power spectrum.
This output is then normalized so that the sum of the magnitude is equal to unity, giving a normalized power spectrum.
Figure 5 shows the power spectrums of single HRRP and the ordinal arrangement of the redundant HRRPs, where M = 32, C = 5, and the carrier frequency step [DELTA]f = 6 MHz, so (M - 1)/2[DELTA]f = 93 MHz.
The new algorithm based on the power spectrum of radar echo uses not only the amplitude information, but also the phase information of the overlapping HRRPs of a target to improve the SCR.
Waveforms, phase portraits, and power spectrums were investigated, and correlation functions were calculated for interesting cases.
The HP Pavilion PC line has become well known as a high-quality, superior-value PC for the home that offers something for consumers across the entire price and power spectrums.
Because of the interference, figures of power spectrums and correlation coefficients from situations mentioned above are similar.
In these two scenarios, the power spectrums are almost the same.