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
What is Sound? - Quickly Discover What Sound Really Is
What is Sound? This simple demonstration visually shows how sound waves are produced from a vibrating surface. A frequency generator is hooked up to a power amplifier, and the resultant signal is used to drive a loudspeaker. The signal is also sent to an oscilloscope. After listen
From playlist Physics Demonstrations
Teach Astronomy - Doppler Effect
http://www.teachastronomy.com/ The Doppler Effect is the shift of wavelength or frequency of a source of waves due to the motion of that source of waves. Doppler Effect is most familiar in terms of sound waves. As a source of sound, such as a siren, approaches you, the pitch or frequency
From playlist 06. Optics and Quantum Theory
Jonathan defines what white noise actually is and how it's used to mask other annoying sounds. Learn more at HowStuffWorks.com: http://science.howstuffworks.com/question47.htm Share on Facebook: http://goo.gl/n7YNrZ Share on Twitter: http://goo.gl/Fq9InS Subscribe: http://goo.gl/ZYI7Gt V
From playlist Episodes hosted by Jonathan
Show Me Some Science! Speed Of Sound
Sound is a wave which travels through the air at about 330 m/s. The Little Shop of Physics Crew dances to the music together. When spread out along the track, it takes about a third of a second for the sound to travel from the first person to the last. The crew is blindfolded, so there are
From playlist Show Me Some Science!
Optimization meets machine learning for neuroimaging - Gramfort - Workshop 3 - CEB T1 2019
Alexandre Gramfort (INRIA) / 01.04.2019 Optimization meets machine learning for neuroimaging. Electroencephalography (EEG), Magnetoencephalography (MEG) and functional MRI (fMRI) are noninvasive techniques that allow to image the active brain. Yet to do so, challenging computational and
From playlist 2019 - T1 - The Mathematics of Imaging
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
Giovanni Peccati: Some applications of variational techniques in stochastic geometry II
Some variance estimates on the Poisson space, Part II I will introduce the notion of second-order Poincaré inequalities on the Poisson space and describe their use in a geometric context - with specific emphasis on quantitative CLTs for strongly stabilizing functionals, and on fourth-mome
From playlist Winter School on the Interplay between High-Dimensional Geometry and Probability
Benign overfitting- Peter Bartlett, UC Berkley
Recent years have witnessed an increased cross-fertilisation between the fields of statistics and computer science. In the era of Big Data, statisticians are increasingly facing the question of guaranteeing prescribed levels of inferential accuracy within certain time budget. On the other
From playlist Statistics and computation
High dimensional estimation via Sum-of-Squares Proofs – D. Steurer & P. Raghavendra – ICM2018
Mathematical Aspects of Computer Science Invited Lecture 14.6 High dimensional estimation via Sum-of-Squares Proofs David Steurer & Prasad Raghavendra Abstract: Estimation is the computational task of recovering a ‘hidden parameter’ x associated with a distribution 𝒟_x, given a ‘measurem
From playlist Mathematical Aspects of Computer Science
Shirshendu Ganguly (Berkeley) -- Stability and chaos in dynamical last passage percolation (Part 1)
Many complex disordered systems in statistical mechanics are characterized by intricate energy landscapes. The ground state, the configuration with lowest energy, lies at the base of the deepest valley. In important examples, such as Gaussian polymers and spin glass models, the landscape h
From playlist Integrable Probability Working Group
Spectral Properties of Random Perturbations of Non-self-adjoint Operators by Anirban Basak
ICTS In-house 2022 Organizers: Chandramouli, Omkar, Priyadarshi, Tuneer Date and Time: 20th to 22nd April, 2022 Venue: Ramanujan Hall inhouse@icts.res.in An exclusive three-day event to exchange ideas and research topics amongst members of ICTS.
From playlist ICTS In-house 2022
Peter R Saulson - Thermal noise (Brownian noise, Zener damping, thermo-elastic noise)
PROGRAM: ICTS Winter School on Experimental Gravitational-Wave Physics DATES: Monday 23 Dec, 2013 - Saturday 28 Dec, 2013 VENUE: Raja Ramanna Centre for Advanced Technology, Indore PROGRAM LINK: http://www.icts.res.in/program/GWS2013 A worldwide network of detectors are currently involved
From playlist ICTS Winter School on Experimental Gravitational-Wave Physics
Notation and Basic Signal Properties
http://AllSignalProcessing.com for free e-book on frequency relationships and more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Signals as functions, discrete- and continuous-time signals, sampling, images, periodic signals, displayi
From playlist Introduction and Background
Alan Hammmond (Berkeley) -- Stability and chaos in dynamical last passage percolation
Many complex statistical mechanical models have intricate energy landscapes. The ground state, or lowest energy state, lies at the base of the deepest valley. In examples such as spin glasses and Gaussian polymers, there are many valleys; the abundance of near-ground states (at the base of
From playlist Columbia Probability Seminar
From playlist Contributed talks One World Symposium 2020
A discrete signal has to be reconstructed to get back into the continuous domain.
From playlist Discrete
Pierre Youssef: Outliers in sparse Wigner matrices
Given a Wigner matrix with centered bounded entries, we study the effect of sparsity on the extreme eigenvalues. More precisely, multiplying the entries by independent Bernoulli variables with parameter pn, we show that as pn decreases, outliers start emerging in the semi-circular law whic
From playlist Workshop: High dimensional measures: geometric and probabilistic aspects