: Describe the source files found within the .7z archive (e.g., .mat , .csv , or raw image data).
: Check the file properties for a "Last Modified" date to determine which version of the research you are documenting. NNSWIBR.7z
: Explain how the NNSWIBR algorithm improves upon standard Sparse Representation or Back-Projection. : Describe the source files found within the
: Explain the physical constraints (e.g., pixel intensity cannot be negative). NNSWIBR.7z
If you are having trouble accessing the contents to write the paper: : Use 7-Zip or WinZip to open NNSWIBR.7z .
: Look for a README.txt , main.m (MATLAB), or .py (Python) script. These often contain the mathematical formulas needed for your "Methodology" section.