In this paper, we consider power spectral density estimation of bandlimited, wide-sense stationary signals from sub-Nyquist sampled data. This problem has recently received attent...
Michael A. Lexa, Mike E. Davies, John S. Thompson,...
Multiplicative update algorithms have encountered a great success to solve optimization problems with non-negativity constraints, such as the famous non-negative matrix factorizat...
This paper presents a novel study and analysis on two important problems in gait recognition: one is how to perform gait recognition with only segment of a complete gait cycle for...
Decoder architectures for architecture-aware Raptor codes having regular message access-and-processing patterns are presented. Raptor codes are a class of concatenated codes compo...
This contribution presents a modified Kalman filter approach for single channel speech enhancement which is operating in the frequency domain. In the first step, temporal corre...
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...
The use of statically compiled search networks for ASR systems using huge vocabularies and complex language models often becomes challenging in terms of memory requirements. Dynam...
In this paper, we propose a content-aware congestion control for multimedia streaming over TCP/IP networks. Unlike existing congestion control schemes over the Internet that adapt...
Spectral imaging is of interest in many applications, including wide-area airborne surveillance, remote sensing, and tissue spectroscopy. Coded aperture spectral snapshot imaging ...
Hyperspectral imaging analysis aims at the estimation of the number of constituent substances, known as endmembers, their spectral signatures as well as their abundance fractions ...