Some recent peer-reviewed papers in leading international journals and at important conferences are listed below.

We have been anxious to push the technology, and to open up new applications paths for multiscale methods. Please request copies from [email protected] Many other papers are available also. These give a good idea of the breadth and depth of possibilities available with multiscale transform analysis.
Spatial Data

Luis Carvalho, Mapping and Monitoring Forest Remnants: A Multiscale Analysis of Spatio-Temporal Data, PhD Thesis, Wageningen University, The Netherlands, December 10, 2001.
“Spatial representation of economic and financial measures used in agriculture via wavelet analysis”, M. Morehart, F. Murtagh and J.L. Starck, International Journal of Geographical Information Science, 13, 557-576, 1999.
M. Morehart, F. Murtagh and J.L. Starck, “Multiresolution spatial analysis”, Proceedings GeoComp’99, Fredricksburg, VA, 1999. Paper in online proceedings.
Compression
“Lossless compression of astronomical images”, M. Louys, J.L. Starck and F. Murtagh, Irish Astronomical Journal, 26, 119-120, July 1999.
“Astronomical image compression”, M. Louys, J.L. Starck, S. Mei, F. Bonnarel and F. Murtagh, Astronomy and Astrophysics Supplement, 136, 579-590, 1999.
“Very high quality image compression based on noise modeling”, F. Murtagh, J.-L. Starck and M. Louys, International Journal of Imaging Systems and Technology, 9, 38-45, 1998.
Information Characterization, Image Databases
“Multiscale entropy for semantic description of images and signals”, J.L. Starck, F. Murtagh and F. Bonnarel, submitted.
“Multiscale entropy filtering”, J.L. Starck and F. Murtagh, Signal Processing, 76, 147-165, 1999.
“Multiscale image and data analysis”, F. Murtagh and J.L. Starck, Encyclopedia of Microcomputers, A. Kent and J.G. Williams, Eds., Marcel Dekker, submitted.
“Image processing through multiscale analysis and measurement noise modeling”, F. Murtagh and J.L. Starck, Statistics and Computing, in press, 1999.
Automatic noise estimation from the multiresolution support”, J.-L. Starck and F. Murtagh, Publications of the Astronomical Society of the Pacific, 110, 193-199, 1998.
“A new entropy measure based on the wavelet transform and noise modeling”, J.-L. Starck, F. Murtagh and R. Gastaud, IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 45, 1118-1124, 1998.
“Image restoration with noise suppression using the wavelet transform”, Starck, J.-L. and Murtagh, F., Astronomy and Astrophysics, 288, 342-348, 1994.
“Restauration des images multi-√©chelles par l’algorithme √† trous”, Bijaoui, A., Starck, J.-L. and Murtagh, F., Traitement du Signal, 11, 229-243, 1994.
Image Fusion, Addition, Registration
“Information fusion of model and observed data for missing data imputation in oceanography”, G. Zheng, J. Campbell and F. Murtagh, in P.F. Whelan, Ed., IMVIP’99 – Irish Machine Vision and Image Processing Conference 1999, 228-237, 1999.
“Automated wavelet-based image addition: application to surveillance video”, T. Daubos, Z. Geradts, J.L. Starck, J. Campbell and F. Murtagh, in P.F. Whelan, Ed., IMVIP’99 – Irish Machine Vision and Image Processing Conference 1999, 15-25, 1999.
“Improving video image quality using automated wavelet-based image addition”, T. Daubos, Z. Geradts, J.L. Starck, J. Campbell and F. Murtagh, SPIE Conference on Wavelet Applications in Signal and Image Processing VII, July 1999.
“Information fusion of model and observed data for missing data imputation in oceanography”, F. Murtagh, J.G. Campbell and J.L. Starck, submitted, 1999.
Finance, Process Control, Traffic Modeling
“Multiscale transforms for filtering financial data streams”, G. Zheng, J.L. Starck, J.G. Campbell and F. Murtagh, Journal of Computational Intelligence in Finance, 7, 18-35, 1999. Online version.
“Multiresolution analysis of financial, environmental and process signals”, draft paper. Online version.
“A neuro-wavelet strategy for Web traffic forecasting”, A. Aussem and F. Murtagh, Journal of Official Statistics, 1, 65-87, 1998
“S&P500; forecasting using a neuro-wavelet approach”, A. Aussem, J. Campbell and F. Murtagh, Journal of Computational Intelligence in Finance, 6, 5-12, 1998.
“Combining neural network forecasts on wavelet-transformed time series”, Aussem, A. and Murtagh, F., Connection Science, 9, 113-121, 1997.
Information Spaces
“Wedding the wavelet transform and multivariate data analysis”, F. Murtagh, Journal of Classification, 15, 161-183, 1998.
“Overcoming the curse of dimensionality in clustering by means of the wavelet transform”, F. Murtagh, J.-L. Starck and M. Berry, The Computer Journal, accepted, 2000.
“Pattern clustering based on noise modeling in wavelet space”, F. Murtagh and J.-L. Starck, Pattern Recognition, 31, 847-855, 1998.
Book, User Manual, Documentation
“How do I install MR1/MR2 on a PC?”. The beginnings of a FAQ – Frequently Asked Questions – collection of questions and answers.
“Image and Data Analysis: The Multiscale Approach”, JL Starck, F Murtagh and A Bijaoui, Cambridge University Press, 1998, link to Amazon.com. Order immediately!
User Manual for MR/1 and MR/2, accessible in the mr1-mr2/doc area. MR/1 – Multiresolution Analysis Environment, and MR/2 – Multiresolution Entropy, 300pp User Manual, These are very large files, about 20MB uncompressed. They are available as Postscript and as compressed (gzipped) Postscript. File names are vol1.ps, vol2.ps, …, vol6.ps.
An Overview of Multiscale Methods, accessible in the mr1-mr2/doc area. Called doc_demo. These are large files, 19MB uncompressed. They are available as Postscript and as compressed (gzipped) Postscript.
MR/1 and MR/2 User Manual Table of Contents, 9 pages, in Postscript. In PDF.
“A Quick Start to Using MR/1”, an HTML document with various images available for downloading. This is the place to start when installing MR/1 and MR/2.
A short reading list, on the different processing methods supported by MR/1. In LaTeX, or in Postscript, or in PDF.
Multiscsale Analysis Newsletter, No. 1, January 1999.