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Predictive-flow-queue based energy
Predictive-flow-queue based energy

... Interested readers may refer to [20]-[22] for additional information. B. Related Work Dynamic voltage and frequency scaling (DVFS) has been the subject of many investigations [23]-[29]. In the following, we provide a quick review of some the work which is most directly related to ours. An applicatio ...
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... Time interval averaging increases the number of valid digits, but here again usually not to the extent that crystal accuracy is important. Short-term stability may become important when doing time-interval averaging on narrow pulses. The short-term stability specification is statistical in nature so ...
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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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