
MEASUREMENT OF SURFACE DISPLACEMENT EXCITED BY EMAT TRANSDUCER Petr Fidler
... relatively small item, which gives an advantage over using piezoelectric acoustic emission sensors that are limited by aperture effect at small wavelengths. In addition, laser interferometer is capable of surface displacement measuring directly under the EMAT device, which is very difficult with usi ...
... relatively small item, which gives an advantage over using piezoelectric acoustic emission sensors that are limited by aperture effect at small wavelengths. In addition, laser interferometer is capable of surface displacement measuring directly under the EMAT device, which is very difficult with usi ...
PDF
... requirement switching takes place. In this switching losses are less as compared to PWM technique. To generate appropriate gate pulse, it is required to calculate time interval for switching the individual device or switch. In pulse width modulation technique, to generate the gate pulse a reference ...
... requirement switching takes place. In this switching losses are less as compared to PWM technique. To generate appropriate gate pulse, it is required to calculate time interval for switching the individual device or switch. In pulse width modulation technique, to generate the gate pulse a reference ...
3.0 theory of operation
... protection, as used in one or two stage systems. Parallel hybrid circuitry incorporates both voltage and frequency dependant components which protect against all high amplitude impulses, low level transients and broadband noise. The hybrid filter is designed to accurately track and filter all angles ...
... protection, as used in one or two stage systems. Parallel hybrid circuitry incorporates both voltage and frequency dependant components which protect against all high amplitude impulses, low level transients and broadband noise. The hybrid filter is designed to accurately track and filter all angles ...
AN-873 APPLICATION NOTE
... Digital lock detect becomes less accurate at high PFD frequencies (>15 MHz). This is because the period of the PFD frequency begins to approach the 15 ns window used to check for lock. For example, a 25 MHz PFD frequency has a period of 40 ns. In such a case, the accuracy of digital lock detect is c ...
... Digital lock detect becomes less accurate at high PFD frequencies (>15 MHz). This is because the period of the PFD frequency begins to approach the 15 ns window used to check for lock. For example, a 25 MHz PFD frequency has a period of 40 ns. In such a case, the accuracy of digital lock detect is c ...
Circuit Note CN-0147
... (Continued from first page) Circuits from the Lab circuits are intended only for use with Analog Devices products and are the intellectual property of Analog Devices or its licensors. While you may use the Circuits from the Lab circuits in the design of your product, no other license is granted by i ...
... (Continued from first page) Circuits from the Lab circuits are intended only for use with Analog Devices products and are the intellectual property of Analog Devices or its licensors. While you may use the Circuits from the Lab circuits in the design of your product, no other license is granted by i ...
Chapter 4 - UniMAP Portal
... – The output can also be taken from the output of either collector to ground, producing a single-ended ...
... – The output can also be taken from the output of either collector to ground, producing a single-ended ...
Chirp spectrum

The spectrum of a chirp pulse describes its characteristics in terms of its frequency components. This frequency-domain representation is an alternative to the more familiar time-domain waveform, and the two versions are mathematically related by the Fourier transform. The spectrum is of particular interest when pulses are subject to signal processing. For example, when a chirp pulse is compressed by its matched filter, the resulting waveform contains not only a main narrow pulse but, also, a variety of unwanted artifacts many of which are directly attributable to features in the chirp's spectral characteristics. The simplest way to derive the spectrum of a chirp, now computers are widely available, is to sample the time-domain waveform at a frequency well above the Nyquist limit and call up an FFT algorithm to obtain the desired result. As this approach was not an option for the early designers, they resorted to analytic analysis, where possible, or to graphical or approximation methods, otherwise. These early methods still remain helpful, however, as they give additional insight into the behavior and properties of chirps.