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Deep Signal Recovery with One-Bit Quantization
Shahin Khobahi, Naveed Naimipour, Mojtaba Soltanalian +1
Machine learning, and more specifically deep learning, have shown remarkable performance in sensing, communications, and inference. In this paper, we consider the application of th…
Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound
Oren Solomon, Regev Cohen, Yi Zhang +5
Contrast enhanced ultrasound is a radiation-free imaging modality which uses encapsulated gas microbubbles for improved visualization of the vascular bed deep within the tissue. It…
Asymptotic Task-Based Quantization with Application to Massive MIMO
Nir Shlezinger, Yonina C. Eldar, Miguel R. D. Rodrigues
Quantizers take part in nearly every digital signal processing system which operates on physical signals. They are commonly designed to accurately represent the underlying signal,…
Functional Nonlinear Sparse Models
Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro
Signal processing is rich in inherently continuous and often nonlinear applications, such as spectral estimation, optical imaging, and super-resolution microscopy, in which sparsit…
TenDSuR: Tensor-Based 4D Sub-Nyquist Radar
Siqi Na, Kumar Vijay Mishra, Yimin Liu +2
We propose Tensor-based 4D Sub-Nyquist Radar (TenDSuR) that samples in spectral, spatial, Doppler, and temporal domains at sub-Nyquist rates while simultaneously recovering the tar…
Analysis of Frequency Agile Radar via Compressed Sensing
Tianyao Huang, Yimin Liu, Xingyu Xu +2
Frequency agile radar (FAR) is known to have excellent electronic counter-countermeasures (ECCM) performance and the potential to realize spectrum sharing in dense electromagnetic…