Compactly supported orthogonal wavelets
Development of compactly supported orthogonal wavelets with major applications in signal and image processing.
Scientist Exhibit
Mathematics
Developed compactly supported orthogonal wavelets used in signal and image processing
Overview
Ingrid Daubechies is a mathematician whose work on wavelets transformed digital signal and image analysis. She constructed families of compactly supported orthogonal wavelets that made wavelet methods practical for representing and compressing complex data. Her mathematical tools have influenced image compression, scientific computing, data analysis, and many other applications. The wavelets bearing her name remain foundational in applied mathematics.
Scientific Contribution
Development of compactly supported orthogonal wavelets with major applications in signal and image processing.
Life Timeline
publication
Daubechies published a construction of orthonormal bases of compactly supported wavelets with arbitrarily high regularity, a foundational result in modern wavelet theory.
career
Daubechies joined Princeton's mathematics faculty, later becoming the first woman to hold a full professorship in mathematics there.
award
Her book Ten Lectures on Wavelets received the American Mathematical Society's Steele Prize for Mathematical Exposition.
career
Daubechies moved to Duke University as James B. Duke Professor of Mathematics.
Places & Networks
research institution
Murray Hill , United States
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Princeton , United States
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Durham , United States
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