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Hybrid NEMS interfaces are the key to systems combining the benefits of highly sensitive miniaturized mechanical sensors with the vast functionalities available in electronics. In this context, we analyze diverse RF front-ends meant for interfacing high-impedance carbon nanotube based NEMS. Given the feeble signals from the NEMS, their high output impedance and non-negligible interconnect parasitics,...
In this paper we consider the problem of sampling far below the Nyquist rate signals that are sparse linear superpositions of shifts of a known, potentially wide-band, pulse. This signal model is key for applications such as Ultra Wide Band (UWB) communications or neural signal processing. Following the recently proposed Compressed Sensing methodology, we study several acquisition strategies and show...
One of the unique feature of cognitive radio systems is they can make use of temporarily idle spectral bands in an opportunistic manner. To achieve this however, robust sensing algorithm is required which otherwise incumbent services could suffer from interference. In this paper sensing algorithms based on energy detection and self-correlation detection are presented and compared. The self-correlation...
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