This paper describes a machine learning approach for visual
object detection which is capable of processing images
extremely rapidly and achieving high detection rates. This
wor...
Electroencephalogram (EEG) is an important technique for detecting epileptic seizures. In this paper a method of classification of EEG signal into normal, interictal and ictal cla...
In this paper, we introduce a method for estimating the statistically distinct neural responses in an sequence of functional magnetic resonance images (fMRI). The crux of our meth...
We design a zero-forcing filter and a minimum mean square error (MMSE) filter on the 2-sphere by a spherical harmonic multiplication operator. Compared with the traditional opti...
In this case study, a data-oriented approach is used to visualize a complex digital signal processing pipeline. The pipeline implements a Frequency Modulated (FM) Software-Defined...
Matthew Hall, Alex Betts, Donna Cox, David Pointer...