DocumentCode
1641582
Title
A multiscale approach to solving one dimensional inverse problems
Author
Miller, Ellis ; Willsky, Alan
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA
fYear
1992
Firstpage
129
Lastpage
132
Abstract
A multiresolution approach to solving one dimensional inverse problems is explored. Inverse problems described by that class of operators which are made sparse under the action of the wavelet transform are considered. Statistically based inversion procedures utilizing multiscale a priori stochastic models are also considered. As a concrete example, a deconvolution problem arising in wellbore induction measurement of conductivity is examined
Keywords
inverse problems; statistics; stochastic processes; terrestrial electricity; wavelet transforms; 1D; conductivity; deconvolution problem; electric fields; multiscale approach; one dimensional inverse problems; statistics; stochastic models; wavelet transform; wellbore induction measurement; Conductivity measurement; Fractals; Geologic measurements; Inverse problems; Magnetic field measurement; Spatial resolution; Stochastic processes; Telephony; Transmitters; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium
Conference_Location
Victoria, BC
Print_ISBN
0-7803-0805-0
Type
conf
DOI
10.1109/TFTSA.1992.274219
Filename
274219
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