Stéphane Mallat

Stéphane G. Mallat (born in Paris, France) 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]

Publications

References

  1. ↑ Yu, Guoshen; Mallat, Stéphane (2008). "Audio Denoising by Time-Frequency Block Thresholding". 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