Poisson wavelet

The amplitude of the fish

By popular request, this is a version of the video https://youtu.be/HfCQdFpNeLQ showing a linear wave hitting obstacles distributed according to a Poisson point process, but with a color scheme showing only the wave height. A Poisson point process is the most random distribution of points

From playlist Mangroves vs tsunamis (sort of)

Waves II 1_5 Energy Transport and the Poynting Vector

Energy transport in an electromagnetic wave.

From playlist Physics - Waves

Waves II 1_6 Energy Transport and the Poynting Vector

Energy transport in an electromagnetic wave.

From playlist Physics - Waves

Brent Pym: Holomorphic Poisson structures - lecture 2

The notion of a Poisson manifold originated in mathematical physics, where it is used to describe the equations of motion of classical mechanical systems, but it is nowadays connected with many different parts of mathematics. A key feature of any Poisson manifold is that it carries a cano

From playlist Virtual Conference

Wolfram Technology Conference 2010: Stephen Wolfram Keynote Part 2

Wolfram Research Founder and CEO Stephen Wolfram kicked off the Wolfram Technology Conference 2010 by highlighting the year's top developments and sharing insights on new directions for Wolfram technologies. This year's conference keynote featured the unveiling of the forthcoming Mathem

From playlist Wolfram Technology Conference 2010

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

Poisson distribution

The Poisson is a classic distribution used in operational risk. It often fits (describes) random variables over time intervals. For example, it might try to characterize the number of low severity, high frequency (HFLS) loss events over a month or a year. It is a discrete function that con

From playlist Statistics: Distributions

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 II 1_4 Energy Transport and the Poynting Vector

Energy transport in an electromagnetic wave.

From playlist Physics - Waves

Brent Pym: Holomorphic Poisson structures - lecture 3

The notion of a Poisson manifold originated in mathematical physics, where it is used to describe the equations of motion of classical mechanical systems, but it is nowadays connected with many different parts of mathematics. A key feature of any Poisson manifold is that it carries a cano

From playlist Virtual Conference

Wei Zhu: "LDMnet: low dimensional manifold regularized neural networks"

New Deep Learning Techniques 2018 "LDMnet: low dimensional manifold regularized neural networks" Wei Zhu, Duke University, Mathematics Abstract: Deep neural networks have proved very successful on archetypal tasks for which large training sets are available, but when the training data ar

From playlist New Deep Learning Techniques 2018

Short Introduction to the Poisson Distribution

Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Short Introduction to the Poisson Distribution

From playlist Statistics

On the Propogation of Uncertainty in Network Summaries: Eric Kolaczyk, Boston University

http://math.bu.edu/people/kolaczyk/biography.html Eric Kolaczyk was born in 1968 in Chicago, Illiinois. He obtained a BS degree in mathematics from the University of Chicago, and MS and PhD degrees in statistics from Stanford University. He has been on the faculty in the Department of Mat

From playlist Turing Seminars

Reading and Writing the Cell Fate Code - M. Thomson - 1/14/16

Bioinformatics Research Symposium Beckman Institute Auditorium Thursday, January 14, 2016

From playlist Bioinformatics Research Symposium

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

Nicki Holighaus: Time-frequency frames and applications to audio analysis - Part 1

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

8ECM Invited Lecture: Martin Burger

From playlist 8ECM Invited Lectures

Jin Keun Seo: "Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Im..."

Deep Learning and Medical Applications 2020 "Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Imaging" Jin Keun Seo - Yonsei University, Computational Science & Engineering Abstract: The significant recent developments in deep learning have made it relevant

From playlist Deep Learning and Medical Applications 2020

Waves 6_2 Doppler Effect

Solution to problems dealing with the Doppler effect.

From playlist Physics - Waves

Stochastic climate models with Lévy noise by Michael Hoegele (Part 3)

ORGANIZERS: Amit Apte, Soumitro Banerjee, Pranay Goel, Partha Guha, Neelima Gupte, Govindan Rangarajan and Somdatta Sinha DATES: Monday 23 May, 2016 - Saturday 23 Jul, 2016 VENUE: Madhava Lecture Hall, ICTS, Bangalore This program is first-of-its-kind in India with a specific focus to p

From playlist Summer Research Program on Dynamics of Complex Systems