Classical sampling records the signal level at pre-determined time instances, usually uniformly spaced. An alternative implicit sampling model is to record the timing of pre-deter...
We present a sequential Monte Carlo method applied to additive noise compensation for robust speech recognition in time-varying noise. The method generates a set of samples accord...
In cognitive radio (CR) networks, multi-CR cooperation typically takes place during spectrum sensing, to cope with wireless fading effects and the hidden terminal problem. The use...
In this paper, we present a new voltage IR drop analysis approach for large on-chip power delivery networks. The new approach is based on recently proposed sampling based reductio...
— We investigate the problem of inferring the packet loss characteristics of Internet links using server-based measurements. Unlike much of existing work on network tomography th...