Nondestructive damage evaluation of plates using the multi-resolution analysis of two-dimensional Haar wavelet

2006 ◽  
Vol 292 (1-2) ◽  
pp. 82-104 ◽  
Author(s):  
Byeong Hwa Kim ◽  
Heedai Kim ◽  
Taehyo Park
Keyword(s):  
Haar Wavelet ◽  
Damage Evaluation ◽  
Two Dimensional ◽  
Multi Resolution Analysis ◽  
Resolution Analysis

scholarly journals Non-Contact Eye-Gazing Point Detection Technique via Two Dimensional Multi Resolution Analysis.

2000 ◽  
Vol 66 (650) ◽  
pp. 3406-3412
Author(s):  
Masafumi ODA ◽  
Nozomi SANADA ◽  
Yukio SEKIGUCHI ◽  
Tsuneshi ISOMURA ◽  
Toshiaki HARA
Keyword(s):  
Detection Technique ◽  
Two Dimensional ◽  
Multi Resolution Analysis ◽  
Resolution Analysis ◽  
Point Detection

scholarly journals Single Channel EEG Artifact Identification Using Two-Dimensional Multi-Resolution Analysis

Sensors ◽  
2017 ◽  
Vol 17 (12) ◽  
pp. 2895 ◽  
Author(s):  
Mojtaba Taherisadr ◽  
Omid Dehzangi ◽  
Hossein Parsaei
Keyword(s):  
Single Channel ◽  
Two Dimensional ◽  
Multi Resolution Analysis ◽  
Resolution Analysis ◽  
Artifact Identification

scholarly journals Non-Contact Eye-Gazing Point Detection Technique via Two Dimensional Multi Resolution Analysis

2000 ◽  
Vol 2000.11 (0) ◽  
pp. 31-32
Author(s):  
Kiyokazu TETSUTANI ◽  
Yuriko SHUTO ◽  
Masafumi ODA ◽  
Tsuneshi ISOMURA ◽  
Yukio SEKIGUCHI ◽  
...  
Keyword(s):  
Detection Technique ◽  
Two Dimensional ◽  
Multi Resolution Analysis ◽  
Resolution Analysis ◽  
Point Detection

scholarly journals On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds

2021 ◽  
Vol 65 (4) ◽  
pp. 953-998
Author(s):  
Mark A. Iwen ◽  
Felix Krahmer ◽  
Sara Krause-Solberg ◽  
Johannes Maly
Keyword(s):  
Compressed Sensing ◽  
Numerical Experiments ◽  
Optimal Scaling ◽  
Intrinsic Dimension ◽  
Recovery Method ◽  
Multi Resolution Analysis ◽  
Resolution Analysis

AbstractThis paper studies the problem of recovering a signal from one-bit compressed sensing measurements under a manifold model; that is, assuming that the signal lies on or near a manifold of low intrinsic dimension. We provide a convex recovery method based on the Geometric Multi-Resolution Analysis and prove recovery guarantees with a near-optimal scaling in the intrinsic manifold dimension. Our method is the first tractable algorithm with such guarantees for this setting. The results are complemented by numerical experiments confirming the validity of our approach.

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