In this study, we report the high-brightness 1.53 inch 130 PPI active-matrix light-emitting diode display (AMLED). Dual gate coplanar amorphous indium-gallium-zinc-oxide (a-IGZO) thin film transistor (TFT) is applied for the high brightness micro LED display. The micro LEDs optimized for the a-IGZO TFT backplane are fabricated, and the low-temperature eutectic bonding is applied to prevent thermal bonding damage. Finally, the glass based AMLED over ~ 10,000 cd/m² is demonstrated, using the dual gate coplanar a-IGZO TFT.
Proton irradiation testing was performed for ATMEL 68360 processor and GaAs MMICs. ATMEL 68360 showed a few SEE and suffered permanent functional failure near 20 krad (Si). No SEE and a little TID effect occur in these MMICs. The results show sufficient qualification of the components for Korean space missions.During the floating calculation, which is one (1.0) if correctly done, the CPM continuously transmits the prescribed
Compressive sensing uses the sparsity of signals and the incoherence of sensing matrices. The use of random sensing matrices ensures an easy configuration and a high probability of reconstruction, but there is no optimum algorithm that can avoid the lengthy computation time and high memory consumption burden. Deterministic sensing matrix equations are known to mitigate these problems, and among others, chirp sensing matrices can help to achieve fast data recovery. However, most deterministic sensing matrices suffer from increased internal interference compared with that of random sensing matrix groups, and consequently result in degraded performance. In this paper, we propose a novel compressive sensing reconstruction method that enables the acquisition of excellent sparse signal reconstruction performance of existing random sensing matrices and signal processing acceleration performance through deterministic sensing matrices. Accordingly, we propose a method that contributes to the increase in the vast amount of data that has been a chronic problem with SAR(Synthetic Aperture Radar) images and the acceleration of the processing speed.
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