Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing

Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing

English | 2015 | ISBN: 1848216378 | 322 Pages | PDF | 12 MB


The focus of this book is on "ill-posed inverse problems". These problems cannot be solved only on the basis of observed data. The building of solutions involves the recognition of other pieces of a priori information. These solutions are then specific to the pieces of information taken into account. Clarifying and taking these pieces of information into account is necessary for grasping the domain of validity and the field of application for the solutions built. For too long, the interest in these problems has remained very limited in the signal-image community. However, the community has since recognized that these matters are more interesting and they have become the subject of much greater enthusiasm.
From the application field's point of view, a significant part of the book is devoted to conventional subjects in the field of inversion: biological and medical imaging, astronomy, non-destructive evaluation, processing of video sequences, target tracking, sensor networks and digital communications.
The variety of chapters is also clear, when we examine the acquisition modalities at stake: conventional modalities, such as tomography and NMR, visible or infrared optical imaging, or more recent modalities such as atomic force imaging and polarized light imaging.

Download:

http://longfiles.com/hwv7374tq2ci/Regularization_and_Bayesian_Methods_for_Inverse_Problems_in_Signal_and_Image_Processing.pdf.html

[Fast Download] Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing


Ebooks related to "Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing" :
Image Processing and Acquisition using Python
The Technology of Binaural Listening (Modern Acoustics and Signal Processing)
Theoretical Foundations of Digital Imaging Using MATLAB
Signal Processing: A Mathematical Approach, Second Edition
Noise and Vibration Analysis: Signal Analysis and Experimental Procedures
Signal Processing with Free Software
The Application of Programmable DSPs in Mobile Communications
Signal Processing: A Mathematical Approach, Second Edition
Structure and Interpretation of Signals and Systems
Optimal Filtering
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.