Topics in this Issue
Clustering is used to isolate and focus the analysis on the data points that lie outside the norm. By identifying outlier data points, we subject them to additional scrutiny with diagnostics not suitable for examining large numbers of points. For details see the paper by Negres et al., pp. D12-D20.
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- Recent advances in digital holography [Invited]
- Optical properties of the metals Al, Co, Cu, Au, Fe, Pb,...
- Digital Holography and 3D Imaging: introduction
- Optical properties of metallic films for vertical-cavity...
- Laser Beams and Resonators
- Phase retrieval algorithms: a comparison
- Optical Constants of Water in the 200-nm to 200-?m...
- Generation of annular beam by a novel class of Fresnel zone...
- Measurement of the orbital angular momentum density of...