The Daubechies wavelets, based on the work of Ingrid Daubechies, are a family of orthogonal wavelets defining a discrete wavelet transform and characterized by a maximal number of vanishing moments for some given support. With each wavelet type of this class, there is a scaling function (called the father wavelet) which generates an orthogonal multiresolution analysis. (Wikipedia).
Solution to problems dealing with the Doppler effect.
From playlist Physics - Waves
Solution to problems dealing with the Doppler effect.
From playlist Physics - Waves
Explaining the Doppler effect. Worked problems.
From playlist Physics - Waves
An introduction to the wavelet transform (and how to draw with them!)
The wavelet transform allows to change our point of view on a signal. The important information is condensed in a smaller space, allowing to easily compress or filter the signal. A lot of approximations are made in this video, like a lot of missing √2 factors. This choice was made to keep
From playlist Summer of Math Exposition Youtube Videos
Wavelets: a mathematical microscope
Wavelet transform is an invaluable tool in signal processing, which has applications in a variety of fields - from hydrodynamics to neuroscience. This revolutionary method allows us to uncover structures, which are present in the signal but are hidden behind the noise. The key feature of w
From playlist Fourier
Interview at CIRM: Ingrid Daubechies
Ingrid Daubechies at CIRM Ingrid Daubechies, James B. Duke Professor of Mathematics and Electrical and Computer Engineering at Duke University. Baroness Ingrid Daubechies (In 2012 King Albert II of Belgium granted her the title of Baroness) is a Belgian physicist and mathematician. Betw
From playlist Mathematics in Science & Technology
Ingrid Daubechies: Wavelet bases: roots, surprises and applications
This lecture was held by Ingrid Daubechies at The University of Oslo, May 24, 2017 and was part of the Abel Prize Lectures in connection with the Abel Prize Week celebrations. Ingrid Daubechies is a Belgian physicist and mathematician. She is best known for her work with wavelets in imag
From playlist Abel Lectures
Philipp Grohs: Wavelets, shearlets and geometric frames - Part 2
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist Analysis and its Applications
Yves Meyer: Detection of gravitational waves and time-frequency wavelets
Summary: Sergey Klimenko designed the algorithm used to detect gravitational waves. This algorithm depends on the time-frequency wavelets which have been elaborated by Ingrid Daubechies, Stéphane Jaffard, and Jean-Lin Journé. After describing the now famous discovery of gravitational waves
From playlist Abel Lectures
PHYS 201 | Slit Diffraction 2 - Huygen's-Fresnel Principle
This is the mathematical method we will use to calculate diffraction effects: the Huygens-Fresnel Principle. Consider a wavefront as a source of spherical wavelets, and when adding them consider interference.
From playlist PHYS 201 | Diffraction
Wavelets and Multiresolution Analysis
This video discusses the wavelet transform. The wavelet transform generalizes the Fourier transform and is better suited to multiscale data. Book Website: http://databookuw.com Book PDF: http://databookuw.com/databook.pdf These lectures follow Chapter 2 from: "Data-Driven Science an
From playlist Data-Driven Science and Engineering
David Donoho's Gauss Prize Laudatio — Emmanuel Candes — ICM2018
The work of David Donoho Emmanuel Candes ICM 2018 - International Congress of Mathematicians © www.icm2018.org Os direitos sobre todo o material deste canal pertencem ao Instituto de Matemática Pura e Aplicada, sendo vedada a utilização total ou parcial do conteúdo sem autorização pré
From playlist Special / Prizes Lectures
Stéphane Mallat: A Wavelet Zoom to Analyze a Multiscale World
Abstract: Complex physical phenomena, signals and images involve structures of very different scales. A wavelet transform operates as a zoom, which simplifies the analysis by separating local variations at different scales. Yves Meyer found wavelet orthonormal bases having better propertie
From playlist Abel Lectures
Ingrid Daubechies - 3/4 Time-Frequency Localization and Applications
Abstract: In this 250th anniversary year of the birth of Joseph Fourier, it behoves us to talk of frequency and spectral analysis! The lectures shall visit a number of different techniques that have been developed and applied in the last 30 years, to carry out what engineers and applied m
From playlist Hadamard Lectures 2018 - Ingrid DAUBECHIES - Time-Frequency Localization and Applications
Angela Kunoth: 25+ Years of Wavelets for PDEs
Abstract: Ingrid Daubechies' construction of orthonormal wavelet bases with compact support published in 1988 started a general interest to employ these functions also for the numerical solution of partial differential equations (PDEs). Concentrating on linear elliptic and parabolic PDEs,
From playlist Numerical Analysis and Scientific Computing
AWESOME Physics demonstrations. Lissajous figures from laser!
This laser light show device produces different geometric designs that change as adjustments are made to it.
From playlist WAVES