Adding controlled noise from predetermined distributions is a way of designing differentially private mechanisms. This technique is useful for designing private mechanisms for real-valued functions on sensitive data. Some commonly used distributions for adding noise include Laplace and Gaussian distributions. (Wikipedia).

I discuss causal and non-causal noise filters: the moving average filter and the exponentially weighted moving average. I show how to do this filtering in Excel and Python

From playlist Discrete

A discrete signal has to be reconstructed to get back into the continuous domain.

From playlist Discrete

Ex: Inverse Variation Application - Loudness and Distance

This video provides an inverse variation example relating the loudness in decibels and the distance from a sound source. Library: http://mathispower4u.com Search: http://mathispower4u.wordpress.com

From playlist Solving Direct and Inverse Variation Problems

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

The basic principles using environmental noise from city traffic as an example are explained.

From playlist HOW IT WORKS

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

Differentially Private Algorithms: Some Primitives and Paradigms - Kunal Talwar

Differential Privacy Symposium: Four Facets of Differential Privacy Saturday, November 12, 2016 https://www.ias.edu/differential-privacy More videos on http://video.ias.edu

From playlist Differential Privacy Symposium - November 12, 2016

Academic Keynote: Differentially Private Covariance-Adaptive Mean Estimation, Adam Smith (BU)

A Google TechTalk, presented by Adam Smith, 2021/11/9 ABSTRACT: Differentially Private Covariance-Adaptive Mean Estimation Covariance-adaptive mean estimation is a fundamental problem in statistics, where we are given n i.i.d. samples from a d-dimensional distribution with mean $\mu$ and

From playlist 2021 Google Workshop on Federated Learning and Analytics

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!

Synchronization of Cilia and Flagella - 2 by Benjamin Friedrich

DISCUSSION MEETING : THIRSTING FOR THEORETICAL BIOLOGY (ONLINE) ORGANIZERS : Vaishnavi Ananthanarayanan (UNSW & EMBL Australia), Vijaykumar Krishnamurthy (ICTS-TIFR, India) and Vidyanand Nanjundiah (Centre for Human Genetics, India) DATE : 11 January 2021 to 22 January 2021 VENUE : Online

From playlist Thirsting for Theoretical Biology (Online)

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

Subscribe to Stanford Engineering's The Future of Everything podcast: https://the-future-of-everything-stanford-engineering.simplecast.com/ A Stanford professor explains how fluid mechanics can help decrease the sound generated by airplanes. Since they were invented more than a century a

From playlist The Future of Everything

Macroscopic fluctuation theory (Lecture - 03) by Tridib Sadhu

Bangalore School on Statistical Physics - VIII DATE: 28 June 2017 to 14 July 2017 VENUE: Ramanujan Lecture Hall, ICTS, Bengaluru This advanced level school is the eighth in the series. This is a pedagogical school, aimed at bridging the gap between masters-level courses and topics in s

From playlist Bangalore School on Statistical Physics - VIII

Nexus Trimester - Adam Smith (Penn State) - 3/3

Differential Privacy, the Tutorial - 3/3 Adam Smith (Penn State) March 30, 2016 Abstract: The tutorial will introduce differential privacy, a widely used definition of privacy for statistical databases. We will begin with the motivation for rigorous definitions of privacy in statistical

From playlist Nexus Trimester - 2016 - Secrecy and Privacy Theme

How to Use a Kalman Filter in Simulink | Understanding Kalman Filters, Part 6

Download our Kalman Filter Virtual Lab to practice linear and extended Kalman filter design of a pendulum system with interactive exercises and animations in MATLAB and Simulink: https://bit.ly/3g5AwyS This video demonstrates how you can estimate the angular position of a simple pendulum

From playlist Understanding Kalman Filters

Living and Driven Matter by Sriram Ramaswamy

ICTS at Ten ORGANIZERS: Rajesh Gopakumar and Spenta R. Wadia DATE: 04 January 2018 to 06 January 2018 VENUE: International Centre for Theoretical Sciences, Bengaluru This is the tenth year of ICTS-TIFR since it came into existence on 2nd August 2007. ICTS has now grown to have more tha

From playlist ICTS at Ten

Introduction to Frequency Selective Filtering

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. Separation of signals based on frequency content using lowpass, highpass, bandpass, etc filters. Filter g

From playlist Introduction to Filter Design

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

Quantum Metrology and Gravitational Wave Detectors by Yanbei Chen

DISCUSSION MEETING THE FUTURE OF GRAVITATIONAL-WAVE ASTRONOMY ORGANIZERS : Parameswaran Ajith, K.G. Arun, B.S. Sathyaprakash, Tarun Souradeep and G. Srinivasan DATE : 19 August 2019 to 22 August 2019 VENUE : Ramanujan Lecture Hall, ICTS Bangalore This discussion meeting, or

From playlist The Future of Gravitational-wave Astronomy 2019

Waves 4_2 Sources of Musical Sounds

Problems dealing with musical sounds.

From playlist Physics - Waves