Sound vs. Noise: What’s the Actual Difference? (Part 1 of 3)
Noise and sound are not the same thing… really, they aren’t! What exactly is noise? Part 2 of 3 - https://youtu.be/XhFhK97hrdY Part 3 of 3 - https://youtu.be/yTyYZFcxGGQ Read More: Signal-to-Noise Ratio and Why It Matters https://www.lifewire.com/signal-to-noise-ratio-3134701 “You
From playlist Seeker Plus
Review of Multiplicative Inverses
In this video we connect and review the ideas of multiplicative inverses and reciprocals
From playlist Middle School This Year
Show Me Some Science! Constructive and Destructive Interference
Waves are one way in which energy can be send down a string. When two waves meet, they interact. This interaction is called interference. If two waves add up this is known as "constructive interference" and if they cancel out it's "destructive interference". After the waves interact, they
From playlist Show Me Some Science!
I.7 : What is OpenSimplex Noise?
Simplex Noise (2001) is an improvement on "classic" Perlin noise (1983). I discuss a bit of the history of noise algorithms and show how to use the Java source code for Open Simplex Noise in Processing. 🎥Next Video: Random Walker Coding Challenge: https://youtu.be/l__fEY1xanY Links discu
From playlist 13: What is Perlin Noise?
Multivariable Calculus: Cross Product
In this video we explore how to compute the cross product of two vectors using determinants.
From playlist Multivariable Calculus
In this video i demonstrate sound waves interference and standing waves from loudspeaker used sound sensor. The frequency on loudspeaker is about 5500Hz. Enjoy!!!
From playlist WAVES
Programming Perlin-like Noise (C++)
NOTE! This is an approximation of Perlin Noise! :-S Noise is at the root of most procedurally generated content. However, just choosing random numbers alone is insufficient. Perlin noise adds local coherence over different scales to generate natural looking formations, which can be furthe
From playlist Interesting Programming
Waves 4_2 Sources of Musical Sounds
Problems dealing with musical sounds.
From playlist Physics - Waves
Guy Rothblum : Privacy and Security via Randomized Methods - 3
Recording during the thematic meeting: «Nexus of Information and Computation Theories » theJanuary 27, 2016 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent
From playlist Nexus Trimester - 2016 -Tutorial Week at CIRM
Carsten Chong (Columbia) -- Asymptotic behavior of the stochastic heat equation with Lévy noise
We discuss some recent results about the macroscopic behavior of the solution to the stochastic heat equation with Lévy noise. For a fixed spatial point, we show that the solution develops unusually large peaks as time tends to infinity. As this already occurs under additive noise, we refe
From playlist Northeastern Probability Seminar 2020
GRCon19 - Multichannel phase coherent transceiver system with GNU Radio... by Michael Hennerich
Multichannel phase coherent transceiver system with GNU Radio interface by Michael Hennerich Many applications need multiple channels of phase and frequency synchronization and coherency. Applications like Direction of Arrival (DOA) accuracy are directly related to the number of channels
From playlist GRCon 2019
Analog vs. Digital Epsilons: Implementation Considerations Considerations for Differential Privacy
A Google TechTalk, presented by Olya Ohrimenko, 2021/11/17 Differential Privacy for ML series.
From playlist Differential Privacy for ML
Hubert Lacoin (IMPA) -- The continuum directed polymer in Lévy Noise as a scaling limit
Directed polymer in a random environment is one of the simplest and most studied disordered models in statistical mechanics. The aim of the talk is to introduce a continuum version of the directed polymer model which appears as a scaling limit when considering an "intermediate disorder re
From playlist Columbia SPDE Seminar
Ik Siong Heng - Gaussian Mixture Models for transient gravitational wave detection - IPAM at UCLA
Recorded 29 November 2021. Ik Siong Heng of the University of Glasgow prsents "Gaussian Mixture Models for transient gravitational wave detection" at IPAM's Workshop IV: Big Data in Multi-Messenger Astrophysics. Abstract: The data from the gravitational wave detectors are non-stationary an
From playlist Workshop: Big Data in Multi-Messenger Astrophysics
Probing the Early Universe through Observations of the Cosmic Microwave Background - William Jones
Probing the Early Universe through Observations of the Cosmic Microwave Background William Jones Princeton University July 26, 2011
From playlist PiTP 2011
Thirteenth Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series Talk
Date: Wednesday, February 10, 2021, 10:00am EDT Speaker: Hui Ji, National University of Singapore Title: Self-supervised Deep Learning for Image Recovery Abstract: In recent years, deep learning emerges as one promising technique for solving many ill-posed inverse problems in image rec
From playlist Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series
Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3pqkTry This lecture covers supervised learning and linear regression. Andrew Ng Adjunct Professor of Computer Science https://www.andrewng.org/ To follow alon
From playlist Stanford CS229: Machine Learning Full Course taught by Andrew Ng | Autumn 2018
Local linearity for a multivariable function
A visual representation of local linearity for a function with a 2d input and a 2d output, in preparation for learning about the Jacobian matrix.
From playlist Multivariable calculus