This paper discusses the use of spectral distances obtained from adaptive filters employed as linear predictors and phase change of the electric network frequency to evaluate dig...
Daniel Patricio Nicolalde, Jose Antonio Apolinario
Abstract—We are interested in topological analysis and processing of the large-scale distributed data generated by sensor networks. Naturally a large-scale sensor network is depl...
In this paper we investigate the use of data driven clustering methods for functional connectivity analysis in fMRI. In particular, we consider the K-Means and Spectral Clustering...
Archana Venkataraman, Koene R. A. Van Dijk, Randy ...
All discrete Fourier transform (DFT) domain-based speech enhancement gain functions rely on knowledge of the noise power spectral density (PSD). Since the noise PSD is unknown in a...
Richard C. Hendriks, Jesper Jensen, Richard Heusde...
It is well-known that opportunistic transmission schemes are sumcapacity optimal, in the Shannon sense, for symmetric cellular networks with single-antenna transceivers. However, ...
Pengcheng Zhan, Ramesh Annavajjala, A. Lee Swindle...