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This project is a fork of the original GPU De-dedispersion library (https://github.com/ajameson/dedisp/), intended to be used/modified for the FDD project.

Image Domain Gridding (IDG) is a fast method for convolutional resampling (gridding/degridding) of radio astronomical data (visibilities). Direction-dependent effects (DDEs) or A-tems can be applied in the gridding process.

A fork of https://git.astron.nl/lofar2.0/cobalt, with only the Beamformer kernel code and tests. Refactored to make the code 'stand-alone' as much as possible, while still being somewhat compatible with the original code. Since the original repository is over 500 Mb, all large files have been pruned from the history.

The EveryBeam library is a library that provides the antenna response pattern for several instruments, such as LOFAR (and LOBES), SKA (OSKAR), MWA, JVLA, etc.

DP3: streaming processing pipeline for radio interferometric data

Common functions used in DP3, EveryBeam, WSClean. Like AOCommon but AOCommon is header-only and schaapcommon is not.

Complex CUDA GEMM Library provides complex GEMM kernels for complex data.

LOFAR Local Sky Model Tool

SDP to Uniboard translator

This repository contains the sources and implementations used in the project: Essay (Master): SIGNAL PROCESSING WITH AMD ADAPTIVE COMPUTE ACCELERATION PLATFORM (ACAP) FOR APPLICATIONS IN RADIO ASTRONOMY https://essay.utwente.nl/98354/