Non-negative spectrogram factorization algorithms such as probabilistic latent component analysis (PLCA) have been shown to be quite powerful for source separation. When training d...
Independent component analysis (ICA) is possibly the most widespread approach to solve the blind source separation (BSS) problem. Many different algorithms have been proposed, tog...
Jarkko Ylipaavalniemi, Nima Reyhani, Ricardo Vig&a...
High-speed I/O circuits, once used only for PHYs, are now widely used for intra-system signaling as well because of their bandwidth, power, area, and cost advantages. This technol...
M.-J. Edward Lee, William J. Dally, Ramin Farjad-R...
— Many source separation algorithms fail to deliver robust performance in presence of artifacts introduced by cross-channel redundancy, non-homogeneous mixing and highdimensional...
We develop a novel measure of joint time-frequency localization applicable to equivalence classes of finite-length discrete signals, which are of increasing importance in modern ...
Peter C. Tay, Joseph P. Havlicek, Victor E. DeBrun...