: Explain how the NNSWIBR algorithm improves upon standard Sparse Representation or Back-Projection.
: Describe the source files found within the .7z archive (e.g., .mat , .csv , or raw image data).
: Detail the dictionary learning or wavelet transform used to reduce data redundancy.