Linearity improvement of analog photonic link based on a phase-coherent orthogonal lightwave generator

2021 ◽  
Author(s):  
Mengyao Han ◽  
Muguang Wang ◽  
Beilei Wu ◽  
Nai Zhang ◽  
Hongqian Mu ◽  
...  
Keyword(s):  
Linearity Improvement

Advanced CD Linearity Improvement for Multi-Project Wafers and SoC at 95 nm Technology Node

2002 ◽  
Author(s):  
Jeremy Lu ◽  
Nicole L. Sandlin ◽  
Hidetoshi Sato ◽  
Colbert Lu ◽  
Nicole Cheng ◽  
...  
Keyword(s):  
Technology Node ◽  
Linearity Improvement

Research on Linearity Improvement of Silicon-Based p-i-n Diode Limiters

2020 ◽  
Vol 30 (1) ◽  
pp. 62-65
Author(s):  
Shixiong Deng ◽  
Changzheng Gao ◽  
Shubin Chen ◽  
Jiyong Sun ◽  
Kang Wu
Keyword(s):  
Linearity Improvement ◽  
Silicon Based

The Effect of Multiplicative Scatter Correction (MSC) and Linearity Improvement in NIR Spectroscopy

1988 ◽  
Vol 42 (7) ◽  
pp. 1273-1284 ◽  
Author(s):  
Tomas Isaksson ◽  
Tormod Næs
Keyword(s):  
Near Infrared ◽  
Scatter Correction ◽  
Principal Component Regression ◽  
Nir Spectroscopy ◽  
Principal Component ◽  
Data Sets ◽  
Prediction Errors ◽  
Regression Methods ◽  
Multiplicative Scatter Correction ◽  
Linearity Improvement

Near-infrared (NIR) reflectance spectra of five different food products were measured. The spectra were transformed by multiplicative scatter correction (MSC). Principal component regression (PCR) was performed, on both scatter-corrected and uncorrected spectra. Calibration and prediction were performed for four food constituents: protein, fat, water, and carbohydrates. All regressions gave lower prediction errors (7–68% improvement) by the use of MSC spectra than by the use of uncorrected absorbance spectra. One of these data sets was studied in more detail to clarify the effects of the MSC, by using PCR score, residual, and leverage plots. The improvement by using nonlinear regression methods is indicated.

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