Generalized locally most powerful tests for distributed sparse signal detection
In this paper we tackle distributed detection of a localized phenomenon of interest (POI)
whose signature is sparse via a wireless sensor network. We assume that both the position …
whose signature is sparse via a wireless sensor network. We assume that both the position …
Distributed Sparse Signal Detection With Energy-Efficient Censoring-Quantization in Wireless Sensor Networks
In wireless sensor networks (WSNs), the energy consumption of sensors and the system
performance are inevitably contradictory. For the distributed detection problem in WSN, the …
performance are inevitably contradictory. For the distributed detection problem in WSN, the …
Boundary Multiple Measurement Vectors for Multi-Coset Sampler
D Xiao, Y Lin, J Wang - 2024 IEEE International Symposium on …, 2024 - ieeexplore.ieee.org
As a classical sub-Nyquist sampling technique, multi-coset sampler (MCS) has recently
encountered great challenges due to rapid increase in the bandwidth of radio signals. To …
encountered great challenges due to rapid increase in the bandwidth of radio signals. To …
Accurate Compressed Spectrum Sensing Reaching Sub-Nyquist Sampling Boundary
D Xiao, Y Han, H Jiang, Y Lin - 2023 International Conference …, 2023 - ieeexplore.ieee.org
The increasing bandwidth of radio signals makes high precision sampling with low sampling
rate challenging. We propose a robust and efficient algorithm called JSSP (Joint …
rate challenging. We propose a robust and efficient algorithm called JSSP (Joint …
[PDF][PDF] Cloud-enabled Internet of Things Medical Image Processing Compressed Sensing Reconstruction
Deep learning compresses medical image processing in IoMT. CS-MRI acquires quickly. It
has various medicinal uses due to its advantages. This lowers motion artifacts and contrast …
has various medicinal uses due to its advantages. This lowers motion artifacts and contrast …