—A new class of pair-wise regularizers is proposed for vector-valued signals, including several new regularizers that penalize the angular difference between neighboring vectors....
Dynamic noise adaptation (DNA) [1, 2] is a model-based technique for improving automatic speech recognition (ASR) performance in noise. DNA has shown promise on artificially mixe...
We present a novel method to model and estimate elastic geometric deformations of an observed object, whether they are caused by the object’s own dynamic behavior, or by the dyn...
Due to the nature of an acoustic enclosure, the early part (i.e., direct path and early reflections) of the acoustic echo path is often sparse while the late reverberant part of ...
Pradeep Loganathan, Emanuel A. P. Habets, Patrick ...
In this paper we propose a robust iterative hard thresolding (IHT) algorithm for reconstructing sparse signals in the presence of impulsive noise. To address this problem, we use ...
Canonical distributed quantization schemes do not scale to large sensor networks due to the exponential decoder storage complexity that they entail. Prior efforts to tackle this i...
The formation of synthetic aperture radar (SAR) images is formulated as an inverse problem, a flexible approach suitable for a variety of acquisition systems and signal models. T...
We propose a novel model to characterize the security of linear blinding techniques. The proposed model relates the security of blinding to the possibility of estimating the blind...
Binocular luster is an extremely salient effect seen in 3D when an object in each stereo image exhibits a different contrast polarity relative to the background. The object appear...
We propose a novel method for the classification of EEG signals during motor-imagery. For motor-imagery based brain computer interface (MI-BCI), a method called common spatial pa...