Abstract: Constant false alarm rate (CFAR) detection algorithms, which are widely used in frequency-modulated continuous wave (FMCW) radar systems, achieve target detection by employing a threshold ...

But for his Adelaide mentor, a southern suburbs boy might have become a shopkeeper instead of an LA-based professor widely ...

Researchers have developed an outdoor wireless EEG transmission system using energy harvested from the temperature difference between the human body and surrounding air, even under hot summer ...

Abstract: Snapshot compressed sensing (CS) refers to compressive imaging systems in which multiple frames are mapped into a single measurement frame. Each pixel in the acquired frame is a noisy linear ...

Algorithms, examples and tests for denoising, deblurring, zooming, dequantization and compressive imaging with total variation (TV) and second-order total generalized variation (TGV) regularization.

Deep unfolding network (DUN) that unfolds the optimization algorithm into a deep neural network has achieved great success in compressive sensing (CS) due to its good interpretability and high ...

As I listened to a presentation a couple of weeks ago by Rico Zhang, Huawei’s President of Smart Wearable and Health Product Line, in Shenzhen, China, I came to the realisation that even though the ...

Random noise is frequently present in raw seismic data, which disrupts the continuity of seismic events and reduces the signal-to-noise ratio (SNR) of seismic data. Low SNR and discontinuous seismic ...

This article presents a comprehensive survey of literature on the compressed sensing (CS) of neurophysiology signals. CS is a promising technique to achieve high-fidelity, low-rate, and ...

This paper describes a high-speed fluorescence lifetime imaging method, compressed-sensing fluorescence lifetime imaging microscopy (compressed FLIM), which can produce high-resolution two-dimensional ...