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The superhet or superheterodyne radio receiver
The superhet or superheterodyne radio receiver

Osci_ EE
Osci_ EE

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... frequency and ROCOF are used for determining the FE and RFE of the DUT. This algorithm always selects samples such that timestamp is at the center of the sampling window. The number of cycles of the fundamental used in each sampling window is programmable. Normally this is set at three cycles. The f ...
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JHJDS2022A \ JHJDS2012A handheld digital storage oscilloscope

... ● Press "CH1" → "Coupling DC", set to DC coupling. DC and AC components of the input signal to pass through. As Figure 2-4 ● Press "CH1" → "Coupling AC", set to AC coupling. DC component of the input signal is blocked. As Figure 2-5 ...
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< 1 ... 9 10 11 12 13 14 15 16 17 ... 114 >

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.
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