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A time-varying filter is proposed which improves by 5 dB upon traditional FRESH and Wiener filters when rejecting a pulsed radar signal. The filter is a Time-Varying FRESH (TV-FRESH) filter, which applies different sets of filter weights in a periodic manner, with the same periodicities of the received signal. Matching the periodicities of the filter to that of the signal improves the rejection of interference, producing a better estimate of the desired signal.

Digital predistortion is applied to account for all significant
hardware impairments in a regeneration architecture full-duplex
transceiver. Compared to a conventional regeneration
architecture, where non-linearities are simply reconstructed
for cancellation, by predistorting we avoid these components
to achieve an improvement in both self-interference suppression
and signal quality. A new set of predistortion basis functions
is proposed for the cascade of baseband non-linearities,

In spectrum sharing networks, a base station (BS)
needs to mitigate the interference to users associated with other
coexisting network in the same band. The BS can achieve this by
transmitting its downlink signal in the null space of channels
to such users. However, under a wideband scenario, the BS
needs to estimate null space matrices using the received signal
from such non-cooperative users in each frequency bin where
the users are active. To reduce the computational complexity

In this paper, we address the problem of identifying the modulation level of the received signal under an unknown
frequency selective channel. The modulation level classification is performed using reduced-complexity Kuiper (rcK) test which
utilizes the distribution of signal features such as magnitude of the received samples or phase difference in consecutive

The development of children’s cognitive and perceptual skills depends heavily on object exploration and manipulative experiences. New types of robotic assistive technologies that enable children with disabilities to interact with their environment, which prove to be beneficial for their cognitive and perceptual skills development, have emerged in recent years. In this study, a human-robot interface that uses Event-Related Desynchronization (ERD) brain response during movement was developed.

This paper considers distribution networks featuring distributed energy resources (DERs), and develops a dynamic optimization method to maximize given operational objectives in real time while adhering to relevant network constraints. The design of the dynamic algorithm is based on suitable linearization of the AC power flow equations, and it leverages the

We present a novel No-Reference (NR) video quality assessment (VQA) algorithm that operates on the sparse represent- ation coefficients of local spatio-temporal (video) volumes. Our work is motivated by the observation that the primary visual cortex adopts a sparse coding strategy to represent visual stimulus. We use the popular K-SVD algorithm to construct spatio-temporal dictionary to sparsely represent local spatio-temporal volumes of natural videos.

We present a novel No-Reference (FR) video quality assessment
(VQA) algorithm that operates on the sparse representation
coefficients of local spatio-temporal (video) volumes.
Our work is motivated by the observation that the primary
visual cortex adopts a sparse coding strategy to represent
visual stimulus. We use the popular K-SVD algorithm to construct
spatio-temporal dictionaries to sparsely represent local
spatio-temporal volumes of natural videos. We empirically
demonstrate that the histogram of the sparse representations