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Rodgers_HPM_Effects - TerpConnect

... for NQS and HF device operation. •Use nonlinear device and harmonic balance simulation mode (s>3). ...
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... We can define the phase angle f using tan f = Imaginary X/Real X for complex X. We can now write for VR in complex form: V o R e jw t VR = 1 ˆ2 Ê e j f R 2 + Ë wL wC ¯ = V R e j(w t- f ) This phase angle is defined as: ...
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Application Note 42034 Synchronizing the ML4824 to Wide Frequency Ranges INTRODUCTION

... is greater than the controller’s input frequency the phase comparator’s output voltage is high, supplying more charge current to CT via Q1 and R4. Conversely, when the sync frequency is less than the controller’s the comparator’s output is low, thereby reducing the controller’s frequency. When the l ...
Paper Title (use style: paper title)
Paper Title (use style: paper title)

... A well designed closed loop system must be fast and do well in filtering operation. However these requirements do not fulfill simultaneously and always should be considered a trade-off or an intermediate state for them. F. Synchronization using developed 3 phase PLL The main problem of a three phase ...
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180.0 ° 50.01 Hz 49.99 Hz 230.2 V 228.1 V
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Serway_PSE_quick_ch33
Serway_PSE_quick_ch33

< 1 ... 94 95 96 97 98 99 100 101 102 ... 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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