Sentence examples for electrical spectrum from inspiring English sources

Electrical spectrum analysis indicated 40 GHz modulation of lasing output from the twin-cavity laser.

An autocorrelation setup based on a Michelson interferometer was used for pulse duration measurements, controlled by an oscilloscope with a 50-GHz bandwidth, an electrical spectrum analyzer with a 22-GHz bandwidth, and a 20-GHz photodetector.

The electrical spectrum displays the characteristic 1/ f noise contribution ("flicker noise") at low frequency and a ∼ f noise term above roughly 10 kHz, as well as some spurious electrical pickups and resonances (somewhat exaggerated due to openings in our Faraday box for the objective lens and stage controls).

The electrical spectra for frequencies higher than 15 kHz evidenced the presence of relaxation events associated to local ion motion dynamics and long range diffusion.

Generally, the complex electrical impedance spectrum gives more emphasis to elements with large resistance, whereas complex electric modulus spectrum plots highlight those with smaller capacitance.

Indeed, the discrete noise pickup frequencies in the electrical power spectrum in Figure 4 a are clearly absent from the optical power spectrum in Figure 4 b.

Charged particles are detected in the channels by individual aerosol electrometers, giving an electrical mobility spectrum for the sample.

Frequency spacing between reflected optical signals are elegantly adjusted so that number of peaks in electrical domain spectrum are equal to number of FBGs.

The effects of fluorescent light are particularly deleterious for OOK/ASK modulation formats, in which the electrical power spectrum of OOK/ASK contains a strong DC component.

The electrical conductance spectrum of the bonded PZT patch contains narrow, closely-spaced, local peaks, which exhibit dependence on the size of the substrate.

We present the distribution of relaxation times (DRT) method applied to the electrical impedance spectrum data for improving the differentiation of biological tissues by means of two scenarios, a non-parametric representation and a parametric model.