PLL synthesizing oscillator (3)
... Characteristic The oscillation circuit and the binary counter which was equipped with the flip-flop of the 14 stages By doing the RC or the crystal oscillator in the external, the oscillator can be composed inside. It counts the clock with the falling edge. It has the tap output by the 4, 5, 6, 7, 8 ...
... Characteristic The oscillation circuit and the binary counter which was equipped with the flip-flop of the 14 stages By doing the RC or the crystal oscillator in the external, the oscillator can be composed inside. It counts the clock with the falling edge. It has the tap output by the 4, 5, 6, 7, 8 ...
Trabalho 1
... 1rst Part: Sampling and Acquisition: 1) The output pin Electronic Test Bench Signal generator has a pure AC signal (zero DC offset) while the ADC module only accepts unipolar inputs (0-5V). You must design and build a small signal conditioning electronic circuit (Op-Amp Adder) to add a suitable DC o ...
... 1rst Part: Sampling and Acquisition: 1) The output pin Electronic Test Bench Signal generator has a pure AC signal (zero DC offset) while the ADC module only accepts unipolar inputs (0-5V). You must design and build a small signal conditioning electronic circuit (Op-Amp Adder) to add a suitable DC o ...
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.