Nonlinear mixing based photonic correlator

2012 ◽  
Author(s):  
R. Kibria ◽  
Lam Anh Bui ◽  
M. W. Austin
Keyword(s):  
Nonlinear Mixing

scholarly journals Nonlinear Mixing Characteristics of Reflectance Spectra of Typical Mineral Pigments

Minerals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 626
Author(s):  
Shuqiang Lyu ◽  
Die Meng ◽  
Miaole Hou ◽  
Shuai Tian ◽  
Chunhao Huang ◽  
...  
Keyword(s):  
Nonlinear Model ◽  
Experimental Approach ◽  
Spectral Characteristics ◽  
Chinese Painting ◽  
Mixing Models ◽  
Nonlinear Mixing ◽  
Shortwave Infrared ◽  
Fully Constrained Least Squares ◽  
Spectral Mixing ◽  
Continuum Removal

Hyperspectral technology has been used to identify pigments that adhere to the surfaces of polychrome artifacts. However, the colors are often produced by the mixing of pigments, which requires that the spectral characteristics of the pigment mixtures be considered before pigment unmixing is conducted. Therefore, we proposed an experimental approach to investigate the nonlinear degree of spectral reflectance, using several mixing models, and to evaluate their performances in the study of typical mineral pigments. First, five mineral pigments of azurite, malachite, cinnabar, orpiment, and calcite were selected to form five groups of samples, according to their different mass ratios. Second, a fully constrained least squares algorithm based on the linear model and three algorithms based on the nonlinear model were employed to calculate the proportion of each pigment in the mixtures. We evaluated the abundance accuracy as well as the similarity between the measured and reconstructed spectra produced by those mixing models. Third, we conducted pigment unmixing on a Chinese painting to verify the applicability of the nonlinear model. Fourth, continuum removal was also introduced to test the nonlinearity of mineral pigment mixing. Finally, the results indicated that the spectral mixing of different mineral pigments was more in line with the nonlinear mixing model. The spectral nonlinearity of mixed pigments was higher near to the wavelength corresponding to their colors. Meanwhile, the nonlinearity increased with the wavelength increases in the shortwave infrared bands.

Surface‐wave generation by nonlinear mixing of bulk waves

1979 ◽  
Vol 50 (1) ◽  
pp. 87-90 ◽  
Author(s):  
R. Normandin ◽  
G. I. Stegeman
Keyword(s):  
Surface Wave ◽  
Wave Generation ◽  
Bulk Waves ◽  
Nonlinear Mixing

scholarly journals Intermodal nonlinear mixing with Bessel beams in optical fiber

Optica ◽  
2015 ◽  
Vol 2 (1) ◽  
pp. 14 ◽  
Author(s):  
J. Demas ◽  
P. Steinvurzel ◽  
B. Tai ◽  
L. Rishøj ◽  
Y. Chen ◽  
...  
Keyword(s):  
Optical Fiber ◽  
Bessel Beams ◽  
Nonlinear Mixing

UNIVERSAL MULTIFRACTAL CHARACTERIZATION AND SIMULATION OF SPEECH

1992 ◽  
Vol 02 (03) ◽  
pp. 715-719
Author(s):  
CHRIS LARNDER ◽  
NICOLAS DESAULNIERS-SOUCY ◽  
SHAUN LOVEJOY ◽  
DANIEL SCHERTZER ◽  
CLAUDE BRAUN ◽  
...  
Keyword(s):  
Time Scale ◽  
Scale Invariance ◽  
Characteristic Time ◽  
Low Frequency ◽  
Characteristic Time Scale ◽  
Low Frequencies ◽  
Universal Behavior ◽  
Nonlinear Mixing

In the 1970's it was found that; for low frequencies (<10 Hz), speech is scaling: it has no characteristic time scale. Now such scale invariance is associated with multiscaling statistics, and multifractal structures. Just as Gaussian noises frequently arise because they are generically produced by sums of many independent noise processes, scaling noises have an analogous universal behavior arising from nonlinear mixing of processes. We show that low frequency speech is consistent with these ideas, and use the measured parameters to produce stochastic speech simulations which are strikingly similar to real speech.

Multi-objective hyperspectral unmixing algorithm based on high-order nonlinear mixing model

2019 ◽  
Vol 48 (10) ◽  
pp. 1026002
Author(s):  
甘士忠 Gan Shizhong ◽  
肖志涛 Xiao Zhitao ◽  
陈 雷 Chen Lei ◽  
南瑞杰 Nan Ruijie
Keyword(s):  
Mixing Model ◽  
High Order ◽  
Hyperspectral Unmixing ◽  
Multi Objective ◽  
Nonlinear Mixing
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