Digital filter based on the Fisher linear discriminant to reduce dead-time paralysis in photon counting

2014 ◽  
Author(s):  
Shane Z. Sullivan ◽  
Paul D. Schmitt ◽  
Emma L. DeWalt ◽  
Ryan D. Muir ◽  
Garth J. Simpson
Keyword(s):  
Digital Filter ◽  
Dead Time ◽  
Photon Counting ◽  
Fisher Linear Discriminant ◽  
Linear Discriminant

Full-waveform distortion characteristics of photon counting Lidar at different dead-time

Optik ◽  
2020 ◽  
Vol 223 ◽  
pp. 165448
Author(s):  
Ahui Hou ◽  
Yihua Hu ◽  
Nanxiang Zhao ◽  
Jiajie Fang ◽  
Shilong Xu ◽  
...  
Keyword(s):  
Dead Time ◽  
Photon Counting ◽  
Full Waveform ◽  
Waveform Distortion

P-121: Objective assessment of mild cognitive impairment by Fisher linear discriminant

2007 ◽  
Vol 3 (3S_Part_2) ◽  
pp. S137-S137
Author(s):  
Zhilin Wu ◽  
Piero Antuono ◽  
Guofan Xu ◽  
Jennifer Jones ◽  
Shi-jiang Li
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Objective Assessment ◽  
Fisher Linear Discriminant ◽  
Linear Discriminant

Dead-Time Corrections to Photon Counting Distributions

1966 ◽  
Vol 16 (13) ◽  
pp. 589-592 ◽  
Author(s):  
F. A. Johnson ◽  
R. Jones ◽  
T. P. McLean ◽  
E. R. Pike
Keyword(s):  
Dead Time ◽  
Photon Counting

Transient effect of dead time of photon-counting in micro-pulse lidar

2015 ◽  
Vol 23 (2) ◽  
pp. 408-414
Author(s):  
杨子健 YANG Zi-jian ◽  
陈锋 CHEN Feng ◽  
李抄 LI Chao ◽  
吴太虎 WU Tai-hu
Keyword(s):  
Dead Time ◽  
Photon Counting ◽  
Transient Effect ◽  
Micro Pulse Lidar

2D Image Matrix-Based Discriminator

2006 ◽  
pp. 258-286
Author(s):  
David Zhang ◽  
Xiao-Yuan Jing ◽  
Jian Yang
Keyword(s):  
Principal Component Analysis ◽  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Two Dimensional ◽  
Fisher Linear Discriminant ◽  
Linear Discriminant ◽  
Image Projection ◽  
Projection Techniques

This chapter presents two straightforward image projection techniques — two-dimensional (2D) image matrix-based principal component analysis (IMPCA, 2DPCA) and 2D image matrix-based Fisher linear discriminant analysis (IMLDA, 2DLDA). After a brief introduction, we first introduce IMPCA. Then IMLDA technology is given. As a result, we summarize some useful conclusions.

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