Stéphane Mallat

From Wikipedia, the free encyclopedia
Jump to: navigation, search
Stéphane G. Mallat
Stephane Mallat.jpg
Stéphane Mallat
Born (1962-10-24) 24 October 1962 (age 55)
Paris, France
Nationality French
Alma mater University of Pennsylvania
Scientific career
Fields Applied mathematics
Doctoral advisor Ruzena Bajcsy

Stéphane Georges Mallat made some fundamental contributions to the development of wavelet theory in the late 1980s and early 1990s. He has also done work in applied mathematics, signal processing, music synthesis and image segmentation.

Specifically, he collaborated with Yves Meyer to develop the Multiresolution Analysis (MRA) construction for compactly supported wavelets, which made the implementation of wavelets practical for engineering applications by demonstrating the equivalence of wavelet bases and conjugate mirror filters used in discrete, multirate filter banks in signal processing. He also developed (with Sifen Zhong) the Wavelet transform modulus maxima method for image characterization, a method that uses the local maxima of the wavelet coefficients at various scales to reconstruct images.

He introduced the scattering transform that constructs invariance for object recognition purposes. Mallat is the author of A Wavelet Tour of Signal Processing (ISBN 012466606X), a common text in some applied mathematics and engineering courses.

He has taught at New York University, Massachusetts Institute of Technology, Tel Aviv University,[1] École polytechnique and at the Ecole normale supérieure.[2]



  1. ^ Yu, Guoshen; Mallat, Stéphane (2008). "Audio Denoising by Time-Frequency Block Thresholding" (PDF). IEEE Transactions on Signal Processing. 56 (5): 1830–1839. doi:10.1109/TSP.2007.912893. 
  2. ^ Stéphane Mallat at the Ecole normale supérieure (Paris).

External links[edit]