Scientific Data Compression and Super-Resolution Sampling

Illustrative examples for data compression and super-resolution sampling

Installation

The Julia package manager can be used to install the required packages as follows,

] add GraphicalModelLearning
] add LinearAlgebra
] add StatsBase
] add JSON
] add FFTW
] add Distributions
] add DataFrames
] add JuMP
] add Ipopt
] add Plots
] add Graphs
] add GraphPlot

Quick Start

1. Start Julia in your terminal:

julia

2. Once in the REPL (you’ll see the julia> prompt), include and run the desired example file:

include("Ising.jl")

This script demonstrates data compression and super-resolution sampling on the Ising model using varying DCT compression levels. It outputs reconstructed results and generates comparative plots.

Alternatively, you can run the script directly from the command line:

julia Ising.jl

License

This code is provided under a BSD license as part of the Optimization, Inference and Learning for Advanced Networks project, C18014.