Separating scale-specific soil spatial variability: A comparison of multi-resolution analysis and empirical mode decomposition

Geoderma ◽  
2013 ◽  
Vol 209-210 ◽  
pp. 57-64 ◽  
Author(s):  
Asim Biswas ◽  
Hamish P. Cresswell ◽  
Henry W. Chau ◽  
Raphael A. Viscarra Rossel ◽  
Bing C. Si
Keyword(s):  
Spatial Variability ◽  
Empirical Mode Decomposition ◽  
Mode Decomposition ◽  
Multi Resolution Analysis ◽  
Resolution Analysis ◽  
Soil Spatial Variability

scholarly journals (min,+)-wavelets for non-linear analysis

2014 ◽  
Vol 15 (3) ◽  
pp. 261 ◽  
Author(s):  
Abdelouahab KENOUFI ◽  
Michel GONDRAN
Keyword(s):  
Empirical Mode Decomposition ◽  
Linear Analysis ◽  
Theoretical Level ◽  
Mode Decomposition ◽  
Multi Resolution Analysis ◽  
Non Linear ◽  
Resolution Analysis ◽  
Hölder Exponents ◽  
Weierstrass Functions ◽  
Linear Branch

<pre>For all function f : Rn to R one introduces (min; +)-wavelets which are lower and upper hulls build from (min; +) analysis.</pre><pre>One shows at theoretical level and on numerical applications for the Weierstrass functions, </pre><pre>that (min, +)-wavelets decomposition opens a non-linear branch to the multi-resolution analysis of a signal, </pre><pre>in particular for the Hölder exponents calculation and Empirical Mode Decomposition (EMD).<br /></pre>

Separating Scale-Specific Spatial Variability in Two Dimensions using Bi-Dimensional Empirical Mode Decomposition

2013 ◽  
Vol 77 (6) ◽  
pp. 1991-1995 ◽  
Author(s):  
Asim Biswas ◽  
Hamish P. Cresswell ◽  
Raphael A. Viscarra Rossel ◽  
Bing C. Si
Keyword(s):  
Spatial Variability ◽  
Empirical Mode Decomposition ◽  
Two Dimensions ◽  
Mode Decomposition
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