ashindin
Scientist and assistant professor at Radiophysics department (chairs of radiowave propagation and radioastronomy and "Numerical methods in radiophysics")
Lobachevsky University23 Gagarin av., Nizhny Novgorod
Pinned Repositories
glow_solving_omp
Inverse problem solving for 2 images of artificial airglow (bistatic airglow registration) powered by openmp
Inclined_sweeps_HAARP
ionosphere_phase_sounding
Toolkit for analizing ionosphere phase sounding data (I/Q receiver data) and plotting doppler shifts, electronic concentration profiles and reflection levels velocities
MDS_method
The method of ionosphere multifrequency Doppler sounding is analyzed
medfilt2d_openmp
Median filter for 2D array of doubles with openmp parallel optimizations
multipoint_airglow
Toolkit for inverse problem solving to generate 3D airglow model in active ionospheric experiments
RedPitayaDAQServer
Tools for continuous measurement with the RedPitaya
scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
see_proc
Tools for stimulated electromagnetic emission analysis
Makie.jl
Interactive data visualizations and plotting in Julia
ashindin's Repositories
ashindin/multipoint_airglow
Toolkit for inverse problem solving to generate 3D airglow model in active ionospheric experiments
ashindin/Inclined_sweeps_HAARP
ashindin/MDS_method
The method of ionosphere multifrequency Doppler sounding is analyzed
ashindin/see_proc
Tools for stimulated electromagnetic emission analysis
ashindin/glow_solving_omp
Inverse problem solving for 2 images of artificial airglow (bistatic airglow registration) powered by openmp
ashindin/ionosphere_phase_sounding
Toolkit for analizing ionosphere phase sounding data (I/Q receiver data) and plotting doppler shifts, electronic concentration profiles and reflection levels velocities
ashindin/medfilt2d_openmp
Median filter for 2D array of doubles with openmp parallel optimizations
ashindin/RedPitayaDAQServer
Tools for continuous measurement with the RedPitaya
ashindin/scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.