This paper presents an S-band low noise amplifier that uses a two-stage configuration. The first stage has a cascode topology and the second stage has a RC feedback topology. The S-band LNA uses a 0.35 μm AlGaN/GaN HEMT on a Si-substrate. The results show a maximum gain of 17.2 dB, a minimum noise figure of 2.9 dB and an input/output return loss greater than 9.2/10 dB. The input IIP3 at 2.8 GHz is 2.5 dBm and the unit consumes 230 mW of power.

In this paper, a fast encoding algorithm is developed for fractal image compression. At each search entry in the domain pool, the mean square error (MSE) calculations of the given range block and the eight dihedral symmetries of the domain block are obtained simultaneously in the frequency domain, in which the redundant computations are all eliminated in the new encoding algorithm. It is shown in software simulation that the encoding time is about six times faster than that of the baseline method with almost the same PSNR for the retrieved image. The fast algorithm is performed to deal with the eight dihedral symmetries at each search entry. Therefore, it can be applied to various enhanced algorithms which are equipped with quadtree, classification, and other mechanisms.