CircuitI_exp071411496961
... Figure 2 shows some characteristics of the waveforms: the voltage of one peak (Vp) and the peak-topeak voltage (Vp-p), which is twice of Vp for symmetric waveforms. The period (T) is also shown which is related to the frequency as f=1/T. ...
... Figure 2 shows some characteristics of the waveforms: the voltage of one peak (Vp) and the peak-topeak voltage (Vp-p), which is twice of Vp for symmetric waveforms. The period (T) is also shown which is related to the frequency as f=1/T. ...
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... The Dvm is based on the measurement of time that takes for a linear ramp voltage to rise from zero volt to the level of the input voltage . (or the decrees from the level of the input voltage to zero volt ) The resultant time is measured with an electronic time interval counter , where this count is ...
... The Dvm is based on the measurement of time that takes for a linear ramp voltage to rise from zero volt to the level of the input voltage . (or the decrees from the level of the input voltage to zero volt ) The resultant time is measured with an electronic time interval counter , where this count is ...
Performance Enhanced High Speed UWB GPR System for Buried Rebar Detection Tian Xia, Anbu Venkatachalam, Yu Zhang Dylan Burns, Dryver Huston
... Systematic noise reduction Radio frequency interference reduction Adaptive magnitude scaling ...
... Systematic noise reduction Radio frequency interference reduction Adaptive magnitude scaling ...
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.