Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Wavelet representation of geodetic o...
~
Elhabiby, Mohamed Mamdouh.
Linked to FindBook
Google Book
Amazon
博客來
Wavelet representation of geodetic operators.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Wavelet representation of geodetic operators./
Author:
Elhabiby, Mohamed Mamdouh.
Description:
148 p.
Notes:
Source: Dissertation Abstracts International, Volume: 68-04, Section: B, page: 2179.
Contained By:
Dissertation Abstracts International68-04B.
Subject:
Geodesy. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR25696
ISBN:
9780494256961
Wavelet representation of geodetic operators.
Elhabiby, Mohamed Mamdouh.
Wavelet representation of geodetic operators.
- 148 p.
Source: Dissertation Abstracts International, Volume: 68-04, Section: B, page: 2179.
Thesis (Ph.D.)--University of Calgary (Canada), 2007.
The main objective of this research is to introduce an alternative to the FFT computational scheme using the wavelet transform for the numerical evaluation of different geodetic operators. The new wavelet representation is built on orthogonal wavelet base functions. Eight geodetic operators are evaluated in this thesis: they are classified into direct geodetic integrals, inverse geodetic integrals, and the inversion of integrals. The direct geodetic integrals are the Stokes, the Vening Meinesz, the Poisson (upward continuation), and the terrain correction integrals. The inverse geodetic integrals are the inverse Vening Meinesz integral and the deflection-geoid formula. The Stokes and Poisson (downward continuation) integrals are inverted in the wavelet domain by a conjugate gradient method.
ISBN: 9780494256961Subjects--Topical Terms:
550741
Geodesy.
Wavelet representation of geodetic operators.
LDR
:02863nmm 2200253 4500
001
1835885
005
20080107105543.5
008
130610s2007 eng d
020
$a
9780494256961
035
$a
(UMI)AAINR25696
035
$a
AAINR25696
040
$a
UMI
$c
UMI
100
1
$a
Elhabiby, Mohamed Mamdouh.
$3
1924505
245
1 0
$a
Wavelet representation of geodetic operators.
300
$a
148 p.
500
$a
Source: Dissertation Abstracts International, Volume: 68-04, Section: B, page: 2179.
502
$a
Thesis (Ph.D.)--University of Calgary (Canada), 2007.
520
$a
The main objective of this research is to introduce an alternative to the FFT computational scheme using the wavelet transform for the numerical evaluation of different geodetic operators. The new wavelet representation is built on orthogonal wavelet base functions. Eight geodetic operators are evaluated in this thesis: they are classified into direct geodetic integrals, inverse geodetic integrals, and the inversion of integrals. The direct geodetic integrals are the Stokes, the Vening Meinesz, the Poisson (upward continuation), and the terrain correction integrals. The inverse geodetic integrals are the inverse Vening Meinesz integral and the deflection-geoid formula. The Stokes and Poisson (downward continuation) integrals are inverted in the wavelet domain by a conjugate gradient method.
520
$a
In each case, the role of the kernel's singularity in the wavelet multi-resolution analysis is studied. The integrals are approximated in finite multi-resolution analysis subspaces. A new implementation is introduced to decrease the computational effort. The full solution with all equations requires a large computer memory. Multi-resolution properties of the wavelet transform are used to divide the full solution into parts. Each part represents a level of wavelet detail coefficients or the approximation coefficients. Hard thresholding is used for the compression of the kernels' wavelet detail coefficients. Global fixed thresholding and level/direction-wise thresholding is tested for different kernels. High compression levels are achieved with an acceptable accuracy, which leads to large savings in computer memory and storage space required for allocating the matrices, and also the ability to work with sparse matrices. In the case of the inversion of the integrals, a set of equations is formed and solved using an iterative gradient method. Soft thresholding is used for de-noising stationary and non-stationary noise because of its smoothing properties. Conclusions and recommendations are given with respect to the suitability, accuracy, and efficiency of these methods.
590
$a
School code: 0026.
650
4
$a
Geodesy.
$3
550741
690
$a
0370
710
2
$a
University of Calgary (Canada).
$3
1017619
773
0
$t
Dissertation Abstracts International
$g
68-04B.
790
$a
0026
791
$a
Ph.D.
792
$a
2007
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR25696
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9226905
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login