The time-frequency analysis is a highly suited technique for nonstationary signal analysis
which studies a signal in both time and frequency domains simultaneously. The combination …

Source enumeration is typically studied under the assumption of white noise, which may not
be suitable for real-world applications. In this article, a source enumeration algorithm robust …

The paper studies an Internet of Vehicles system consisting of several UAVs sending
downlink information to ground vehicles to move an uneven terrain. In such environments …

Vehicular Named Data Network (VNDN) is considered a strong paradigm to deploy in
vehicular applications. In VNDN, each node has its cache, but due to limited cache, it directly …

Edge computing has a wide range of applications in the Internet of Things (IoT), especially
suitable for low latency, high bandwidth, and high reliability. Edge computing enabling IoT …

The compressive array method, where a compression matrix is designed to reduce the
dimension of the received signal vector, is an effective solution to obtain high estimation …

Internet of autonomous unmanned vehicles (IAUV) is a global network of sensors, robots,
and autonomous vehicles. Person re‐identification (Re‐ID) is an important intelligent …

Traditional two‐step passive localization methods need to extract the parameters like the
direction of arrival (DOA), time of arrival (TOA), and time difference of arrival (TDOA) from the …

There is inevitable polarization angle deviation between the target echo signal and the
direct path signal of illuminator of opportunity (IO) in passive radar. In order to investigate the …

Existing greedy reconstruction algorithms require signal sparsity, and the remaining sparsity
adaptive algorithms can be reconstructed but cannot achieve accurate sparsity estimation …