Spline wavelet

3D Modelling in Spline

Spline is an easy to use 3D design tool geared for any designer regardless of their 3D experience. It's simpler to learn than full featured 3D apps—such as Cinema 4D or Blender—because it doesn't bog you down with loads and loads of settings and features. Best of all, it is browser-based a

From playlist Web Animations

Programming & Using Splines - Part#1

Splines, in this case Catmull-Rom splines, offer a simple way to have curves in your applications. This video explores the programming to use spline paths and loops that go through all control points yielding an effective way to have more natural NPC AI behaviour. Github: https://github.c

From playlist Interesting Programming

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

Waves 6_2 Doppler Effect

Solution to problems dealing with the Doppler effect.

From playlist Physics - Waves

StatsLearning Chapter 7 - part 3

From playlist ISLR Chapter 7: Moving Beyond Linearity

Waves 6_1 Doppler Effect

Explaining the Doppler effect. Worked problems.

From playlist Physics - Waves

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

Waves 6_3 Doppler Effect

Solution to problems dealing with the Doppler effect.

From playlist Physics - Waves

Programming & Using Splines - Part#2

A direct follow on from Splines Part 1, in this video we look at how to move objects around a spline at a constant(ish) velocity. This approach is an approximation but it is good enough for games, and in particular, non-player character motion. It also shows the costs associated with usin

From playlist Interesting Programming

Signal Processing in One and More Dimensions

Markus van Almsick To learn more about the Wolfram Technologies, visit http://www.wolfram.com The European Wolfram Technology Conference featured both introductory and expert sessions on all major technologies and many applications made possible with Wolfram technology. Learn to achieve

From playlist European Wolfram Technology Conference 2015

Michael Unser: Wavelets and stochastic processes: how the Gaussian world became sparse

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 30 years of wavelets

Lec 27 | MIT 18.085 Computational Science and Engineering I

Multiresolution, wavelet transform and scaling function A more recent version of this course is available at: http://ocw.mit.edu/18-085f08 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT 18.085 Computational Science & Engineering I, Fall 2007

Understanding Wavelets, Part 1: What Are Wavelets

This introductory video covers what wavelets are and how you can use them to explore your data in MATLAB®. •Try Wavelet Toolbox: https://goo.gl/m0ms9d •Ready to Buy: https://goo.gl/sMfoDr The video focuses on two important wavelet transform concepts: scaling and shifting. The concepts ca

From playlist Understanding Wavelets

Hybrid sparse stochastic processes and the resolution of (...) - Unser - Workshop 2 - CEB T1 2019

Michael Unser (EPFL) / 12.03.2019 Hybrid sparse stochastic processes and the resolution of linear inverse problems. Sparse stochastic processes are continuous-domain processes that are specified as solutions of linear stochastic differential equations driven by white Lévy noise. These p

From playlist 2019 - T1 - The Mathematics of Imaging

Anthony Nouy: Approximation and learning with tree tensor networks - Lecture 2

Recorded during the meeting "Data Assimilation and Model Reduction in High Dimensional Problems" the July 21, 2021 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Luca Récanzone A kinetic description of a plasma in external and self-consistent fiel

From playlist Numerical Analysis and Scientific Computing

Hans Feichtinger: Wavelet theory, coorbit spaces and ramifications

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 30 years of wavelets

Tyson Littenberg - Building flexible, but not too flexible, models of gravitational wave data

Recorded 15 November 2021. Tyson Littenberg of the NASA - Marshall Space Flight Center presents "Building flexible, but not too flexible, models of gravitational wave data" at IPAM's Workshop III: Source inference and parameter estimation in Gravitational Wave Astronomy. Abstract: Gravitat

From playlist Workshop: Source inference and parameter estimation in Gravitational Wave Astronomy

Houman Owhadi: "On interplays between stochastic and numerical analysis"

High Dimensional Hamilton-Jacobi PDEs 2020 Workshop IV: Stochastic Analysis Related to Hamilton-Jacobi PDEs "On interplays between stochastic and numerical analysis" Houman Owhadi - California Institute of Technology, ACM Abstract: Although numerical approximation and statistical inferen

From playlist High Dimensional Hamilton-Jacobi PDEs 2020

Rob Stevenson: Convergence theory of adaptive finite element methods (AFEM)

Details of the proof of convergence of AFEM applied to elliptic PDEs will be presented. We introduce approximation classes, and prove that AFEMs converge with the best possible rate. The lecture was held within the framework of the Hausdorff Trimester Program Multiscale Problems: Winter S

From playlist HIM Lectures: Trimester Program "Multiscale Problems"

A perfect wave front in the Bermuda triangle billiard

A wave front in a medium without dispersion or interference (geometric optics approximation), starting from the center of an equilateral triangle, and reflected from the boundary of the triangle. This is analogous to the video https://youtu.be/03E8bBrTymo but with more symmetry, due both t

From playlist Wave fronts in billiards (Geometric optics approximation)