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RF2053 - Qorvo
RF2053 - Qorvo

... The RF2053 is a low power, high performance, wideband RF frequency conversion chip with integrated local oscillator (LO) generation and RF mixer. The RF synthesizer includes an integrated fractional-N phase locked loop that can control an external VCO to produce a low-phase noise LO signal with a ve ...
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... Figure 10. Z-Plane Representation of the Circuit of Figure 9(a) Exact transformation from R1 into R2 occurs at the points of intersection M and N. Impedances are then conjugate or Z′ = R′ + jX′ and Z″ = R″ + jX″ with R′ = R″ and X′ = – X″. The only possible solution is obtained when X′ and – X″ are ...
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... simulated total current consumption Idd , including both Ic and the current consumption in the driver, is shown in Fig. 4. In this simulation, Vc2 = 1.2 V and Vc1 varies from 0 V to 1.0 V. Similarly, by increasing the value of Vc1 the peak value of Idd at the time of discharging (mainly contributed ...
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... the body. The acoustic impedance mismatch requires matching layers (analogous to RF circuits) to efficiently transmit energy. There are normally a couple of matching layers in front of the transducer elements, followed by a lens, followed by coupling gel, followed by the body. The gel is used to ins ...
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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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