Nnswibr.7z

: Check the file properties for a "Last Modified" date to determine which version of the research you are documenting.

: Explain how the NNSWIBR algorithm improves upon standard Sparse Representation or Back-Projection. NNSWIBR.7z

: Define the limitation of current reconstruction methods (e.g., noise, artifacts, or speed). : Check the file properties for a "Last

: Use PSNR (Peak Signal-to-Noise Ratio) or SSIM (Structural Similarity Index) to quantify performance. NNSWIBR.7z

: Describe the weighting matrix used to prioritize certain data points.

: Explain the physical constraints (e.g., pixel intensity cannot be negative).

: Document the iteration counts, regularization factors, and initial weights. 4. Results & Analysis