scholarly journals Generalizing a quantum-well infrared single-pixel polarimeter (QWISPP) to Fourier transform spectral-polarimetric imaging

2004 ◽  
Author(s):  
Mario A. Serna ◽  
Dustin W. McCauley
Keyword(s):  
Fourier Transform ◽  
Quantum Well ◽  
Polarimetric Imaging ◽  
Single Pixel

scholarly journals Hyperspectral imaging using the single-pixel Fourier transform technique

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Senlin Jin ◽  
Wangwei Hui ◽  
Yunlong Wang ◽  
Kaicheng Huang ◽  
Qiushuai Shi ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Hyperspectral Imaging ◽  
Single Pixel

scholarly journals Single pixel polarimetric imaging through scattering media

2020 ◽  
Vol 45 (20) ◽  
pp. 5740
Author(s):  
Kai Ling C. Seow ◽  
Peter Török ◽  
Matthew R. Foreman
Keyword(s):  
Scattering Media ◽  
Polarimetric Imaging ◽  
Single Pixel

scholarly journals Dysnomia, a computer program for maximum-entropy method (MEM) analysis and its performance in the MEM-based pattern fitting

2013 ◽  
Vol 28 (3) ◽  
pp. 184-193 ◽  
Author(s):  
Koichi Momma ◽  
Takuji Ikeda ◽  
Alexei A. Belik ◽  
Fujio Izumi
Keyword(s):  
Fourier Transform ◽  
Computer Program ◽  
Maximum Entropy ◽  
Maximum Entropy Method ◽  
Entropy Method ◽  
Reliability Indices ◽  
Weighting Factors ◽  
Memory Efficiency ◽  
Single Pixel ◽  
Automatic Switching

A computer program, Dysnomia, for the maximum-entropy method (MEM) has been tested for the evaluation and advancement of MEM-based pattern fitting (MPF). Dysnomia is a successor to PRIMA, which was the only program integrated with RIETAN-FP for MPF. Two types of MEM algorithms, i.e., 0th-order single-pixel approximation and a variant of the Cambridge algorithm, were implemented in Dysnomia in combination with a linear combination of the “generalized F constraints” and arbitrary weighting factors for them. Dysnomia excels PRIMA in computation speed, memory efficiency, and scalability owing to parallel processing and automatic switching of discrete Fourier transform and fast Fourier transform depending on sizes of grids and observed reflections. These features of Dysnomia were evaluated for MPF analyses from X-ray powder diffraction data of three different types of compounds: taurine, Cu2CO3(OH)2 (malachite), and Sr9In(PO4)7. Reliability indices in MPF analyses proved to have been improved by using multiple F constraints and weighting factors based on lattice-plane spacings, d, in comparison with those obtained with PRIMA.

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