reaLD 3D glasses filter with a linear polarising filter
This is for a post on my blog: http://blog.stevemould.com
From playlist Everything in chronological order
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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
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Why Use Kalman Filters? | Understanding Kalman Filters, Part 1
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 Discover common uses of Kalman filters by walking through some examples. A Kalman filte
From playlist Understanding Kalman Filters
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
Finding the MMSE Filter Optimum Weights
The math of solving the MMSE problem to find the optimal weights. A linear algebra formulation is used to rewrite the mean-squared error as a perfect square, which allows the MMSE weights to be identified by inspection without defining gradients and. This is the matrix equivalent of the
From playlist MMSE Filtering
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Noncausal filtering of stored data to obtain zero-phase response using the time-reversal property of the DFT, as implemented by the "filtfilt" comma
From playlist Introduction to Filter Design
What does the fossil record reveal about the evolution of Echinoderms?
Invertebrate Paleontology and Paleobotany is a graduate level course in paleontology at Utah State University, which covers the major groups of marine invertebrates, fossil plants, and the important techniques and tools used in the field of paleontology. It covers ichnology, fossil preserv
From playlist Utah State University: Invertebrate Paleontology and Paleobotany (CosmoLearning Geology)
AMMI Course "Geometric Deep Learning" - Lecture 1 (Introduction) - Michael Bronstein
Video recording of the course "Geometric Deep Learning" taught in the African Master in Machine Intelligence in July-August 2021 by Michael Bronstein (Imperial College/Twitter), Joan Bruna (NYU), Taco Cohen (Qualcomm), and Petar Veličković (DeepMind) Lecture 1: Symmetry through the centur
From playlist AMMI Geometric Deep Learning Course - First Edition (2021)
AMMI Course "Geometric Deep Learning" - Lecture 9 (Manifolds & Meshes) - Michael Bronstein
Video recording of the course "Geometric Deep Learning" taught in the African Master in Machine Intelligence in July-August 2021 by Michael Bronstein (Imperial College/Twitter), Joan Bruna (NYU), Taco Cohen (Qualcomm), and Petar Veličković (DeepMind) Lecture 9: Euclidean vs Non-Euclidean
From playlist AMMI Geometric Deep Learning Course - First Edition (2021)
AMMI Course "Geometric Deep Learning" - Lecture 10 (Gauges) - Taco Cohen
Video recording of the course "Geometric Deep Learning" taught in the African Master in Machine Intelligence in July-August 2021 by Michael Bronstein (Imperial College/Twitter), Joan Bruna (NYU), Taco Cohen (Qualcomm), and Petar Veličković (DeepMind) Lecture 10: Gauges • Gauge transformat
From playlist AMMI Geometric Deep Learning Course - First Edition (2021)
AMMI 2022 Course "Geometric Deep Learning" - Lecture 9 (Manifolds) - Michael Bronstein
Video recording of the course "Geometric Deep Learning" taught in the African Master in Machine Intelligence in July 2022 by Michael Bronstein (Oxford), Joan Bruna (NYU), Taco Cohen (Qualcomm), and Petar Veličković (DeepMind) Lecture 9: Euclidean vs Non-Euclidean convolution • Manifolds •
From playlist AMMI Geometric Deep Learning Course - Second Edition (2022)
Week 7 - Symmetry and Equivariance in Neural Networks - Tess Smidt
More about this lecture: https://dl4sci-school.lbl.gov/tess-smidt Deep Learning for Science School: https://dl4sci-school.lbl.gov/agenda
From playlist ML & Deep Learning
z-Transform Analysis of LTI Systems
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Introduction to analysis of systems described by linear constant coefficient difference equations using the z-transform. Definition of the system fu
From playlist The z-Transform
Symmetries in Deep Learning - Deep Random Talks - Episode 18
Notes and resources: https://ai.science/l/c0f9aaa5-0c7a-4177-8948-85c933cb6d25@/assets -Join our ML slack community: https://join.slack.com/t/aisc-to/shared_invite/zt-f5zq5l35-PSIJTFk4v60FML177PgsPg -Visit our website: https://ai.science -Book a 20-min AMA with Amir: https://calendly.
From playlist Deep Random Talks - Season 1
Stanford CS330: Deep Multi-task and Meta Learning | 2020 | Lecture 17: Frontiers and Open-Challenges
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai To follow along with the course, visit: https://cs330.stanford.edu/ To view all online courses and programs offered by Stanford, visit: http://online.stanford.
From playlist Stanford CS330: Deep Multi-task and Meta Learning | Autumn 2020
Matteo Gori - Field theory methods for multiscale description of quantum systems - IPAM at UCLA
Recorded 10 March 2022. Matteo Gori of the University of Luxembourg presents "Field theory methods for multiscale description of quantum systems" at IPAM's Advancing Quantum Mechanics with Mathematics and Statistics Tutorials. Abstract: Quantum field theory has been originally conceived to
From playlist Tutorials: Advancing Quantum Mechanics with Mathematics and Statistics - March 8-11, 2022
Lecture 1: A Brief History of Geometric Deep Learning - Michael Bronstein
Video recording of the First Italian Summer School on Geometric Deep Learning, which took place in July 2022 in Pescara. Slides: https://www.sci.unich.it/geodeep2022/slides/Pescara%202022%20-%20Intro.pdf
From playlist First Italian School on Geometric Deep Learning - Pescara 2022
From playlist filter (less comfortable)