Second Generation Wavelets and Applications

Front Cover
Springer Science & Business Media, Apr 28, 2005 - Computers - 138 pages

Wavelets are mathematical functions that divide data into different frequency components, and then study each component with a resolution matched to its scale.

First generation wavelets have proved useful in many applications in engineering and computer science. However they cannot be used with non-linear, data-adaptive decompositions and non-equispaced data

Second Generation Wavelets and Applications introduces "second generation wavelets" and the lifting transform that can be used to apply the traditional benefits of wavelets into a wide range of new areas in signal processing, data processing and computer graphics.

This book details the mathematical fundamentals of the lifting transform and illustrates the latest applications of the transform in signal and image processing, numerical analysis, scattering data smoothing and rendering of computer images.

 

Contents

I
1
III
3
IV
5
V
7
VI
8
VII
9
VIII
12
IX
13
XXXIII
61
XXXVI
64
XXXVII
66
XXXVIII
70
XL
77
XLI
78
XLII
81
XLIII
82

X
14
XII
16
XIII
17
XIV
21
XVI
24
XVIII
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XIX
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XX
33
XXI
35
XXII
38
XXIII
40
XXIV
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XXVI
45
XXVII
52
XXVIII
53
XXIX
54
XXXI
55
XXXII
57
XLIV
86
XLVI
89
XLVII
91
XLIX
92
L
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LI
95
LII
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LIII
103
LVI
106
LVII
108
LVIII
109
LIX
111
LX
113
LXII
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LXIII
120
LXIV
129
LXV
135
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Page 131 - Ideal spatial adaptation via wavelet shrinkage,ā€Ž
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