Abstract: Super-resolution is generally referred to as the task of recovering fine details from coarse information. Motivated by applications, such as single-molecule imaging, radar imaging, etc., we ...

Super-resolution is generally referred to as the task of recovering fine details from coarse information. Motivated by applications, such as single-molecule imaging, radar imaging, etc., we consider ...

This repository contains lecture notes and solved problem sets from Stanford's EE261: The Fourier Transform and its Applications. It covers essential topics like Fourier Series, Fourier Transform, ...

This repository provides a collection of functions for generating, sampling, and analyzing complex exponential signals in both time and frequency domains. It includes implementations of DTFT, DFT, and ...

Figure 4. A snapshot, in time, of two complex numbers whose exponents, and thus their phase angles, change with time. The notion of negative frequency is often troubling to engineers who've spent so ...