This paper proposes a low-power high-throughput digital signal processor (DSP) for baseband processing in wireless terminals. It builds on our earlier architecture--Signal processi...
Hyunseok Lee, Chaitali Chakrabarti, Trevor N. Mudg...
Ultrasonography is an invaluable and widely used medical imaging tool.
Nevertheless, automatic texture analysis on ultrasound images remains a challenging
issue. This work presen...
Stamos Katsigiannis, Eystratios G. Keramidas, Dimi...
The purpose of this paper is to model the stochastic behavior of the nodal prices of electricity in deregulated markets in the USA, and in particular, to explain how this behavior...
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...