In this paper, we revisit the noise-reduction problem in the time domain and present a way to decompose the ltered speech into two uncorrelated (orthogonal) components: the desire...
Jingdong Chen, Jacob Benesty, Yiteng Huang, Tomas ...
Subspace clustering has attracted great attention due to its capability of finding salient patterns in high dimensional data. Order preserving subspace clusters have been proven to...
Inter-symbol interference (ISI) channels with data dependent Gauss Markov noise have been used to model read channels in magnetic recording and other data storage systems. The Vite...
Naveen Kumar, Aditya Ramamoorthy, Murti V. Salapak...
The detection and estimation of signals in noisy, limited data is a problem of interest to many scientific and engineering communities. We present a mathematically justifiable, com...
Decoupling capacitance (decap) is an efficient way to reduce transient noise in on-chip power supply networks. However, excessive decap may cause more leakage power, chip resource...