Microdamage and optical signal analysis of impact-induced fracture in smart structures

1990 ◽  
Author(s):  
Andrew K. Tay ◽  
Dale A. Wilson ◽  
A. C. Demirdogen ◽  
J. R. Houghton ◽  
Robert L. Wood
Keyword(s):  
Signal Analysis ◽  
Smart Structures ◽  
Optical Signal

Optical SNR estimation using machine learning

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Palash Rai ◽  
Rahul Kaushik
Keyword(s):  
Machine Learning ◽  
Signal Analysis ◽  
Nearest Neighbor ◽  
Signal To Noise Ratio ◽  
Optical Signal ◽  
Machine Learning Algorithms ◽  
K Nearest Neighbor ◽  
Eye Diagram ◽  
Test Instrument ◽  
Data Signal

Abstract A technique for the estimation of an optical signal-to-noise ratio (OSNR) using machine learning algorithms has been proposed. The algorithms are trained with parameters derived from eye-diagram via simulation in 10 Gb/s On-Off Keying (OOK) nonreturn-to-zero (NRZ) data signal. The performance of different machine learning (ML) techniques namely, multiple linear regression, random forest, and K-nearest neighbor (K-NN) for OSNR estimation in terms of mean square error and R-squared value has been compared. The proposed methods may be useful for intelligent signal analysis in a test instrument and to monitor optical performance.

OPTICAL SIGNAL ANALYSIS AND PROCESSING OF OPTICAL IMAGING WITH STRAY LIGHT BEAMS

2010 ◽  
Vol 21 (09) ◽  
pp. 1183-1195
Author(s):  
YING LIU ◽  
YUANPING ZHOU ◽  
WEIGUO WANG ◽  
WENMING TANG
Keyword(s):  
Optical Imaging ◽  
Signal Analysis ◽  
Optical Signal ◽  
Optical Image ◽  
Stray Light ◽  
Analysis Method ◽  
Image Edge ◽  
The Mean ◽  
The Difference ◽  
Light Beams

For the optical signal analysis and processing of optical imaging with stray light beams, a new analysis method for smoothing the optical image edge and maintaining the spectrum signal well is presented in this paper. By calculating the mean gray value of the light pixel in the filter window of adaptive algorithm, we can analyze and compare the difference between the mean gray value and the current gray value with the light pixel of stray light beams, and can determine the smoothness of the optical image edge. This method can increase greatly the ability of optical image analysis and processing, and effectively reduce the false edge and the edge loss for the optical imaging with stray light beams, so that the optical image with high quality can be obtained.

scholarly journals Rapid Phenotypic Antibiotic Susceptibility Testing of Uropathogens Using Optical Signal Analysis on the Nanowell Slide

2018 ◽  
Vol 9 ◽  
Author(s):  
Marta Veses-Garcia ◽  
Haris Antypas ◽  
Susanne Löffler ◽  
Annelie Brauner ◽  
Helene Andersson-Svahn ◽  
...  
Keyword(s):  
Antibiotic Susceptibility ◽  
Signal Analysis ◽  
Susceptibility Testing ◽  
Optical Signal ◽  
Antibiotic Susceptibility Testing

scholarly journals Biophysical cortical column model for optical signal analysis

2007 ◽  
Vol 8 (S2) ◽  
Author(s):  
Sandrine Chemla ◽  
Frederic Chavane ◽  
Thierry Vieville ◽  
Pierre Kornprobst
Keyword(s):  
Signal Analysis ◽  
Optical Signal ◽  
Cortical Column ◽  
Column Model

Nifekalant promotes termination of spiral-reentry by limiting the cardiac tissue proportion available for excitation: A high-resolution optical signal analysis of wave-front and wave-tail

Heart Rhythm ◽  
2005 ◽  
Vol 2 (5) ◽  
pp. S296-S297
Author(s):  
Masatoshi Yamazaki ◽  
Haruo Honjo ◽  
Harumichi Nakagawa ◽  
Yuko Ishiguro ◽  
Yusuke Okuno ◽  
...  
Keyword(s):  
High Resolution ◽  
Wave Front ◽  
Signal Analysis ◽  
Cardiac Tissue ◽  
Optical Signal ◽  
Tissue Proportion

Frequency variant optical signal analysis

1976 ◽  
Vol 15 (12) ◽  
pp. 3073 ◽  
Author(s):  
W. T. Rhodes ◽  
J. M. Florence
Keyword(s):  
Signal Analysis ◽  
Optical Signal
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