A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
Circuits using nano-meter technologies are becoming increasingly vulnerable to signal interference from multiple noise sources as well as radiation-induced soft errors. One way to...
In this contribution a new system for the rapid development of real-time prototypes for digital audio signal processing algorithms on Windows PCs and a Digital Signal Processor (D...
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
Shuicheng Yan, Dong Xu, Stephen Lin, Thomas S. Hua...
In this paper, we describe two new algorithms for datapath scheduling which aim at energy reduction while maintaining performance. The proposed algorithms, time constrained and re...