On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...

Discover how Yash Gupta's research on responsible AI is revolutionizing high-stakes systems, ensuring reliability, transparency, and accountability.

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 ...

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.

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 ...

ABSTRACT: In this paper, a new method of combination single layer wavelet transform and compressive sensing is proposed for image fusion. In which only measured the high-pass wavelet coefficients of ...

ABSTRACT: In digital signal processing (DSP), Nyquistrate sampling completely describes a signal by exploiting its bandlimitedness. Compressed Sensing (CS), also known as compressive sampling, is a ...