Foundations of Quantization for Probability Distributions

Front Cover
Springer Science & Business Media, May 16, 2000 - Mathematics - 230 pages
Due to the rapidly increasing need for methods of data compression, quantization has become a flourishing field in signal and image processing and information theory. The same techniques are also used in statistics (cluster analysis), pattern recognition, and operations research (optimal location of service centers). The book gives the first mathematically rigorous account of the fundamental theory underlying these applications. The emphasis is on the asymptotics of quantization errors for absolutely continuous and special classes of singular probabilities (surface measures, self-similar measures) presenting some new results for the first time. Written for researchers and graduate students in probability theory the monograph is of potential interest to all people working in the disciplines mentioned above.
 

Contents

III
1
IV
7
V
16
VI
20
VIII
26
IX
30
X
37
XII
48
XXXVII
146
XXXVIII
151
XXXIX
155
XL
165
XLII
173
XLIII
180
XLIV
190
XLVI
192

XIII
50
XIV
52
XV
57
XVI
64
XVIII
66
XIX
77
XX
93
XXII
96
XXIII
99
XXIV
102
XXV
106
XXVI
107
XXVIII
111
XXIX
121
XXX
127
XXXII
130
XXXIII
132
XXXIV
137
XXXVI
141
XLVII
195
XLVIII
199
XLIX
203
L
209
LI
215
LII
225
LIII
229
LIV
1
LV
19
LVI
33
LVII
49
LVIII
61
LX
78
LXI
92
LXII
100
LXIII
114
LXIV
128
LXV
139
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