The aim of compressed sensing is to recover attributes of sparse signals using very few measurements. Given an overall bit budget for quantization, this paper demonstrates that th...
Victoria Kostina, Marco F. Duarte, Sina Jafarpour,...
In a large-scale language detection task, performance variation found between different component systems and different target languages has an adverse effect to the pooled error ...
Raymond W. M. Ng, Cheung-Chi Leung, Tan Lee, Bin M...
In this paper, we explore the notion of using frames to project sensed colors within their inherently 3D space onto a larger number of color basis vectors. In particular, we devel...
Abdolreza Abdolhosseini Moghadam, Mohammad Aghagol...
This work addresses the problem of deciding whether a set of realizations of a vector-valued time series with unknown temporal correlation are spatially correlated or not. Speci...
Efficient operation of RF power amplifiers requires compensation strategies to mitigate nonlinear behavior. As bandwidth increases, memory effects become more pronounced, and Vo...
Andrew K. Bolstad, Benjamin A. Miller, Joel Goodma...