We present a new unsupervised learning technique for the discovery of temporal clusters in large data sets. Our method performs hierarchical decomposition of the data to find stru...
We propose a new estimate of the time-varying spectra of uniformly modulated processes. The estimate is based on a resampling scheme which incorporates empirical mode decompositio...
Azadeh Moghtaderi, Patrick Flandrin, Pierre Borgna...
In this paper, we consider a problem of identifying the deterministic part of a closed loop system by applying the stochastic realization technique of (Signal Process. 52 (2) (199...
In the past few years considerable attention has been given to the design of multiple-input multiple-output (MIMO) eigenmode transmission systems (EMTS). This paper presents an in...
Industry is moving towards multi-core designs as we have hit the memory and power walls. Multi-core designs are very effective to exploit thread-level parallelism (TLP) but do not...