Prevailing Machine-Learning (ML)-based approaches leverage existing solvers and simulators to generate a rich set of solutions, which are then used to train a neural network to predict outcomes for un...
mm-Wave radar capabilities that enable robust, precise environmental mapping and object classification under all weather conditions define the next frontier in automotive sensing. Crossing this fronti...
This work presents a broadband mixer-first receiver implemented in a fully distributed topology that employs polyphase harmonic-cancellation to realize octuple local oscillation (LO) signal generation...
Design for space is challenging as it requires long-term reliability (6–12 years), and can have high radiation requirements especially for MEO and GEO orbits and for long-life missions. LEO is easier,...
Waveform engineering for maximum efficiency: for example class F, J, 2nd harmonic tuned, etc, from theoretical concepts up to practical examples of their implementation, highlighting pros and cons and...