Relations between models are important for effective automatic validation, for comparing implementations with specifications, and for increased understanding of embedded systems d...
Abstract. In this paper, we propose a novel approach for adaptive control of robotic manipulators. Our approach uses a representation of inverse dynamics models learned from a vari...
Abstract— In this paper, we propose a frequency domain adaptive estimation of Doppler shifts for multiple Doppler subpaths in direct sequence code division multiple access (DS-CD...
Abstract—Few analytical performance models that relate performance figure of merit to architectural design decisions are reported in recent studies of network-on-chip, which pre...
This paper presents a technique for high-level power estimation of microprocessors. The technique, which is based on abstract execution profiles called ’event signatures’, op...