The main contribution presented here is an adaptive/unsupervised iterative thresholding algorithm for sparse representation of signals which can be modeled as the sum of two compo...
Sensors capable of sensing phenomena at high data rates on the order of tens to hundreds of thousands of samples per second are now widely deployed in many industrial, civil engine...
Lewis Girod, Yuan Mei, Ryan Newton, Stanislav Rost...
In this paper we present a new method of signal processing for robust speech recognition using two microphones. The method, loosely based on the human binaural hearing system, con...
This paper presents a novel method for medical image signal fusion using complex-valued wavelets to enhance the information content in the fused signal from a perceptual manner. T...
Since the functional magnetic resonance imaging (fMRI) signal is likely to re ect a spatial average of the activity of neurons with partly dissimilar response properties, its inte...