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
Time Series Talk : White Noise
Intro to white noise in time series analysis
From playlist Time Series Analysis
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
Amazing science experiment-Demonstrating beat frequency
A beat is an interference pattern between two sounds of slightly different in frequencies You can download this app or a similar app on two devices and TRY it at home Enjoy!!!
From playlist Beats
Amazing science experiment-Demonstrating beat frequency
A beat is an interference pattern between two sounds of slightly different in frequencies You can download this app or a similar app on two devices and TRY it at home Enjoy!!!
From playlist Beats
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
Warning: may cause headaches, nausea, abject terror, uncontrollable laughing. About shepard tones, in shepard tones. Soundtrack is free here: https://soundcloud.com/vihartvihart/shepard-tones-soundtrack This video is CC-by, feel free to re-use for any purpose with attribution.
From playlist Mathemusician Stuff
A discrete signal has to be reconstructed to get back into the continuous domain.
From playlist Discrete
A beat is an interference pattern between two sounds of slightly different in frequencies You can download this app or a similar app on two devices and TRY it at home Enjoy!!!
From playlist Beats
Blind Ptychography: Theory and Algorithm - Fannjiang - Workshop 1 - CEB T1 2019
Fannjiang (UC Davis) / 08.02.2019 Blind Ptychography: Theory and Algorithm Blind ptychography is a phase retrieval method using multiple coded diffraction patterns from different, overlapping parts of the unknown extended object illuminated with an unknown window function. As such blind
From playlist 2019 - T1 - The Mathematics of Imaging
CERIAS Security: Forensics Characterization of Printers and Image Capture devices 2/5
Clip 2/5 Speaker: Nitin Khanna Forensic techniques can be used to uniquely identify each device using the data it produces. This is different from simply securing the data being sent across the network because we are also authenticating the sensor that is creating the data. Fore
From playlist The CERIAS Security Seminars 2006
CERIAS Security: Forensics Characterization of Printers and Image Capture devices 3/5
Clip 3/5 Speaker: Nitin Khanna Forensic techniques can be used to uniquely identify each device using the data it produces. This is different from simply securing the data being sent across the network because we are also authenticating the sensor that is creating the data. Fore
From playlist The CERIAS Security Seminars 2006
Deep Decoder: Concise Image Representations from Untrained Networks (Lecture 2) by Paul Hand
DISCUSSION MEETING THE THEORETICAL BASIS OF MACHINE LEARNING (ML) ORGANIZERS: Chiranjib Bhattacharya, Sunita Sarawagi, Ravi Sundaram and SVN Vishwanathan DATE : 27 December 2018 to 29 December 2018 VENUE : Ramanujan Lecture Hall, ICTS, Bangalore ML (Machine Learning) has enjoyed tr
From playlist The Theoretical Basis of Machine Learning 2018 (ML)
Houlin Xin - AI inroads in imaging sciences for materials research - IPAM at UCLA
Recorded 24 October 2022. Huolin Xin of the University of California, Irvine, presents "AI inroads in imaging sciences for materials research" at IPAM's Mathematical Advances for Multi-Dimensional Microscopy Workshop. Abstract: Deep learning schemes have already impacted areas such as cogn
From playlist 2022 Mathematical Advances for Multi-Dimensional Microscopy
Complexity, Phase Transitions, and Inference by Cristopher Moore (part 1)
There is a deep analogy between statistical inference and statistical physics. I will give a friendly introduction to both of these fields. I will then discuss phase transitions in problems like community detection in networks, and clustering of sparse high-dimensional data, where if our
From playlist School on Current Frontiers in Condensed Matter Research
From Microscopics to Phenomenology: Geometric models for cell fate specification by Archishman Raju
COLLOQUIUM FROM MICROSCOPICS TO PHENOMENOLOGY: GEOMETRIC MODELS FOR CELL FATE SPECIFICATION SPEAKER: Archishman Raju (NCBS - TIFR, Bengaluru) DATE: Mon, 27 September 2021, 15:30 to 17:00 VENUE: Online Colloquium ABSTRACT Microscopic models of cell fate specification in developing embr
From playlist ICTS Colloquia
Marc Levoy - Lectures on Digital Photography - Lecture 8 (13apr16).mp4
This is one of 18 videos representing lectures on digital photography, from a version of my Stanford course CS 178 that was recorded at Google in Spring 2016. A web site that includes all 18 videos, my slides, and the course schedule, applets, and assignments is http://sites.google.com/sit
From playlist Stanford: Digital Photography with Marc Levoy | CosmoLearning Computer Science
Overfitting - Fitting the data too well; fitting the noise. Deterministic noise versus stochastic noise. Lecture 11 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/course/machine-
From playlist Machine Learning Course - CS 156
Waves 4_2 Sources of Musical Sounds
Problems dealing with musical sounds.
From playlist Physics - Waves
José A. Carillo -Noise-driven bifurcations in a neural field system modelling networks of grid cells
---------------------------------- Institut Henri Poincaré, 11 rue Pierre et Marie Curie, 75005 PARIS http://www.ihp.fr/ Rejoingez les réseaux sociaux de l'IHP pour être au courant de nos actualités : - Facebook : https://www.facebook.com/InstitutHenriPoincare/ - Twitter : https://twitter
From playlist Workshop "Workshop on Mathematical Modeling and Statistical Analysis in Neuroscience" - January 31st - February 4th, 2022