Illustrative examples for data compression and super-resolution sampling
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
- Start Julia in your terminal:
julia- 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.jlThis code is provided under a BSD license as part of the Optimization, Inference and Learning for Advanced Networks project, C18014.