Abstract: Bandpass signals are an important sub-class of bandlimited signals that naturally arise in a number of application areas but their high-frequency content poses an acquisition challenge.

Abstract: Deep learning has proven to be important for CT image denoising. However, such models are usually trained under supervision, requiring paired data that may be difficult to obtain in practice ...

Abstract: Sampling theory in fractional Fourier Transform (FrFT) domain has been studied extensively in the last decades. This interest stems from the ability of the FrFT to generalize the traditional ...

A fast Python library implemented in Rust for generating 2D Poisson Disk point sets using the Hierarchical Dart Throwing (HDT) algorithm. Poisson Disk sampling produces points that are tightly packed ...