基本信息
浏览量:58
职业迁徙
个人简介
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]
研究兴趣
论文共 172 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
PNAS nexusno. 4 (2024): pgae103-pgae103
CoRR (2023): 12224-12251
引用0浏览0EI引用
0
0
CoRR (2023)
引用0浏览0EI引用
0
0
Social Science Research Network (2023)
引用0浏览0引用
0
0
Physical Review Xno. 4 (2023): 041038
引用0浏览0引用
0
0
arxiv(2022)
引用0浏览0EI引用
0
0
arxiv(2022)
引用0浏览0EI引用
0
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn