Wavelet analysis in two-dimensional tomography

2002 ◽  
Author(s):  
Dimitry N. Burkovets
Keyword(s):  
Wavelet Analysis ◽  
Two Dimensional

scholarly journals Automated estimation of individual conifer tree height and crown diameter via two-dimensional spatial wavelet analysis of lidar data

2006 ◽  
Vol 32 (2) ◽  
pp. 153-161 ◽  
Author(s):  
Michael J Falkowski ◽  
Alistair M.S Smith ◽  
Andrew T Hudak ◽  
Paul E Gessler ◽  
Lee A Vierling ◽  
...  
Keyword(s):  
Wavelet Analysis ◽  
Tree Height ◽  
Lidar Data ◽  
Two Dimensional ◽  
Crown Diameter ◽  
Conifer Tree

scholarly journals Detecting the Onset of Strain Localization Using Two-Dimensional Wavelet Analysis on Sandstone Deformed at Different Effective Pressures

2018 ◽  
Vol 123 (12) ◽  
pp. 10,460-10,478 ◽  
Author(s):  
Roberto E. Rizzo ◽  
David Healy ◽  
Michael J. Heap ◽  
Natalie J. Farrell
Keyword(s):  
Wavelet Analysis ◽  
Strain Localization ◽  
Two Dimensional

Rectangular Paper Scraps Recovery Based on a New Edge Detection

2014 ◽  
Vol 551 ◽  
pp. 691-695
Author(s):  
Xin Cao
Keyword(s):  
Mathematical Modeling ◽  
Wavelet Analysis ◽  
Edge Detection ◽  
Cutting Conditions ◽  
Two Dimensional ◽  
Line Spacing ◽  
National University ◽  
Official Data ◽  
Recovery Problem

For the regular rectangular paper scraps recovery problem, at first, I used the edge detection based on the improved wavelet analysis to numerically describe the outline of words on each of the pieces. Secondly, screening according to the line spacing to find out paper scraps which are located in the edge. Thirdly, do initial matching to select the best line as a benchmark for two-dimensional double match splicing. At last, I used two-dimensional double match to make the whole stitching come out. In this paper, the data would use the 2013 China National University Mathematical Modeling Competition topic B official data. The model not only can solve the problem of this article, also can be used to solve the problem of similar cutting conditions.

scholarly journals Wavelet analysis of transonic buffet on a two-dimensional airfoil with vortex generators

2016 ◽  
Vol 57 (11) ◽  
Author(s):  
Toshinori Kouchi ◽  
Shingo Yamaguchi ◽  
Shunske Koike ◽  
Tsutomu Nakajima ◽  
Mamoru Sato ◽  
...  
Keyword(s):  
Wavelet Analysis ◽  
Vortex Generators ◽  
Two Dimensional ◽  
Transonic Buffet

scholarly journals Wavelet Scalogram for Detection of R-peaks in Noisy ECG Signal

2019 ◽  
Vol 8 (10) ◽  
pp. 132-136
Keyword(s):  
Wavelet Analysis ◽  
Wavelet Transforms ◽  
Ecg Signal ◽  
Continuous Wavelet ◽  
Signal Design ◽  
Two Dimensional ◽  
Qrs Complex ◽  
Continuous Wavelet Transforms ◽  
Valuable Data ◽  
Ecg Signals

The ECG (electrocardiography) which reports heart electrical action is capable to supply with valuable data almost the sort of cardiac disarranges endured by the patient based on the fluctuations obtained from the ECG signal design. In this paper, we considered noisy ECG signals [MIT-BIH database] and their different wavelet scalograms. Wavelet analysis performed in the ECG signals with continuous wavelet transforms and it has allowed to graphically identifying scalograms energy two-dimensional characteristics of the heartbeat QRS complex.

Multi-Scale Identification of Urban Landscape Structure Based on Two-Dimensional Wavelet Analysis: The Case of Metropolitan Beijing, China

2020 ◽  
Vol 43 ◽  
pp. 100832
Author(s):  
Dr. Qiong Wu ◽  
Jinxiang Tan ◽  
Fengxiang Guo ◽  
Hongqing Li ◽  
Shengbo Chen ◽  
...  
Keyword(s):  
Wavelet Analysis ◽  
Landscape Structure ◽  
Urban Landscape ◽  
Two Dimensional ◽  
Multi Scale ◽  
Beijing China

Discrete Wavelet Analysis of Two-Dimensional Signals

2002 ◽  
Vol 39 (2) ◽  
pp. 162-174
Author(s):  
F. Asamoah
Keyword(s):  
Wavelet Transform ◽  
Wavelet Analysis ◽  
Discrete Wavelet Transform ◽  
Discrete Wavelet ◽  
Two Dimensional ◽  
Discrete Wavelet Analysis ◽  
Matlab Program

Discrete wavelet transform using Daubechies coefficients is applied to decompose a two-dimensional signal into levels. Examples are given using BMP images of a sheep and a thumbprint. The size of the two- dimensional signal is 2N by M. It is shown that it is not necessary for M to be a power of 2. A MATLAB program is written for the computations involved.

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