Learn More
Diffusion MRI is a non-invasive magnetic resonance technique and has been increasingly used in imaging neuroscience. It is currently the only method capable of depicting the complex structure of white matter of the brain in vivo. One of the most popular techniques is diffusion tensor imaging (DTI) which is commonly used clinically to produce in vivo images(More)
—In this paper, the non-invasive detection of human respiratory rate using a stepped-frequency continuous wave (SFCW) radar is addressed through the compressive sensing (CS) framework. Range profiles and the respiratory signatures are resolved using measurements at small numbers of randomly selected frequencies and slow-time samples. The performance of the(More)
The current antenna technology is driven by both military and commercial applications to achieve multi-functionality with persistent connectivity in an integrated platform. The packaging and performance of the antenna in this integrated platform are thus critical factors to consider as an antenna designer. The need for reliable and efficient numerical(More)
—Automatic detection of human motion is important for security and surveillance applications. Compared to other sensors, radar sensors present advantages for human motion detection and identification because of their all-weather and day-and-night capabilities, as well as the fact that they detect targets at a long range. This is particularly advantageous in(More)
Detecting concealed objects such as weapons behind cluttered media is essential for security applications. Terahertz frequencies are usually employed for imaging in security checkpoints due to their safe non-ionizing properties for humans. Interferometric images are constructed based on the complex correlation function of the received electric fields from(More)
The through-wall tracking of moving targets is addressed in this paper using the compressive sensing (CS) approach. The wall transmission coefficients are integrated to take into account the wall effects. Multiple targets are resolved in the directions of arrival (DoA)-range-Doppler space with far fewer measurements.
This paper utilizes the parallelization of Fast Multipole Method (FMM) on hybrid CPU-GPU high-performance computing platforms to analyze the near-field human-forest interactions for micro-Doppler signature of human walking in a forest environment. With the aid of the hybrid platform, larger problem sizes that can accommodate higher order of mutual coupling(More)
  • 1