Micro‐Doppler signals refer to Doppler scattering returns produced by the motions of the
target other than gross translation. The small micro‐motions of a subject, and even just parts …

With the increasing demand of security defense., anti-terrorism investigation and disaster
rescue., human activity classification and recognition have become a hot research topic …

This paper explores computational methods to address the problem of doing inference from
data in multiple modalities, where there exists a large amount of low dimensional data …

In the field of target classification, detecting a ground moving target that is easily covered in
clutter has been a challenge. In addition, traditional feature extraction techniques and …

The ability to recognize the behavior of individuals is of great interest in the general field of
safety (eg building security, crowd control, transport analysis, independent living for the …

The content of this Special Issue deals with progress in the development of micro-Doppler
techniques and approaches for extracting actionable information from vast amounts of …

This paper introduces the use of autoregressive modelling (AR) to characterize individual
human gait signatures from micro-Doppler data. AR models are fitted to micro-Doppler data …

The aim of this work is to introduce modular processing mechanisms for cortical functions
implemented in networks of spiking neurons. Neural maps are a feature of cortical …

Recent work with radar-based detection systems has demonstrated its efficacy in identifying
[10], classifying [6][8][2] humans and animals, and even recognizing gestures [5] in low-light …

This dissertation explores computational methods to address the problem of physics-based
modeling and ultimately doing inference from data in multiple modalities where there exists …