Wavelet packet bases are designed by dividing the frequency axis in intervals of varying sizes. These bases are particularly well adapted to decomposing signals that have different behavior in different frequency intervals. If has properties that vary in time, it is then more appropriate to decompose in a block basis that segments the time axis in intervals with sizes that are adapted to the signal structures. (Wikipedia).
Introduction to the z-Transform
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Introduces the definition of the z-transform, the complex plane, and the relationship between the z-transform and the discrete-time Fourier transfor
From playlist The z-Transform
Electrical Engineering: Ch 19: Fourier Transform (2 of 45) What is a Fourier Transform? Math Def
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain the mathematical definition and equation of a Fourier transform. Next video in this series can be seen at: https://youtu.be/yl6RtWp7y4k
From playlist ELECTRICAL ENGINEERING 18: THE FOURIER TRANSFORM
The Two-Dimensional Discrete Fourier Transform
The two-dimensional discrete Fourier transform (DFT) is the natural extension of the one-dimensional DFT and describes two-dimensional signals like images as a weighted sum of two dimensional sinusoids. Two-dimensional sinusoids have a horizontal frequency component and a vertical frequen
From playlist Fourier
Coding Challenge #130.2: Fourier Transform User Drawing
In this "Drawing with Fourier Transform" follow-up, I render any path drawn by the user with the mouse using the Discrete Fourier Transform algorithm and epicycles. #fourier #transform #epicycles 💻 Code: https://thecodingtrain.com/CodingChallenges/130.2-fourier-transform-drawing 🎥 Part 1:
From playlist Coding Challenges
The Discrete Fourier Transform
This video provides a basic introduction to the very widely used and important discrete Fourier transform (DFT). The DFT describes discrete-time signals as a weighted sum of complex sinusoid building blocks and is used in applications such as GPS, MP3, JPEG, and WiFi.
From playlist Fourier
The Fourier Transform and Derivatives
This video describes how the Fourier Transform can be used to accurately and efficiently compute derivatives, with implications for the numerical solution of differential equations. Book Website: http://databookuw.com Book PDF: http://databookuw.com/databook.pdf These lectures follow
From playlist Fourier
Physical Modeling Tutorial, Part 8: Building Mechanical Assemblies Part 1
Learn to create an assembly in Simscape Multibody. You’ll see how to implement coordinate transforms, represent degrees of freedom, and specify body interfaces for reusability. - Enter the MATLAB and Simulink Racing Lounge: http://bit.ly/2HhcXnU - Download Example Files: Physical Modelin
From playlist Physical Modeling Tutorials
About these sessions: https://forums.fast.ai/t/live-coding-aka-walk-thrus/96617. Playlist: https://www.youtube.com/playlist?list=PLfYUBJiXbdtSLBPJ1GMx-sQWf6iNhb8mM. Contents: 00:00 - Introduction and Questions 05:15 - MultiTask Classification Notebook 07:40 - Good fastai tutorials 08:30 -
From playlist fast.ai live coding & tutorials
Modular Transformation of Conformal Blocks via Liouville CFT - Yi Sun
Probability Seminar Topic: Modular Transformation of Conformal Blocks via Liouville CFT Speaker: Yi Sun Affiliation: University of Chicago Date: December 02, 2022 Conformal blocks are objects of fundamental importance in the bootstrap approach for exact solvability of 2D conformal field
From playlist Mathematics
Daniel Massatt: "Momentum space in relaxed incommensurate bilayers"
Theory and Computation for 2D Materials "Momentum space in relaxed incommensurate bilayers" Daniel Massatt, University of Chicago Abstract: Momentum space techniques are fundamental to the understanding of electronic structure of materials. The basic formulation of momentum space comes f
From playlist Theory and Computation for 2D Materials 2020
Physical Modeling Tutorial, Part 9: Building Mechanical Assemblies Part 2
We continue to build on the example from “Building Mechanical Assemblies Part 1” to show how to sense and log simulation results, add internal mechanics to joints, set initial conditions for mechanical configurations, actuate joints, and apply external force on parts. - Enter the MATLAB an
From playlist Physical Modeling Tutorials
Physics Students Need to Know These 5 Methods for Differential Equations
Differential equations are hard! But these 5 methods will enable you to solve all kinds of equations that you'll encounter throughout your physics studies. Get the notes for free here: https://courses.physicswithelliot.com/notes-sign-up Sign up for my newsletter for additional physics les
From playlist Physics Help Room
Pytorch Transformers from Scratch (Attention is all you need)
In this video we read the original transformer paper "Attention is all you need" and implement it from scratch! Attention is all you need paper: https://arxiv.org/abs/1706.03762 A good blogpost on Transformers: http://www.peterbloem.nl/blog/transformers ❤️ Support the channel ❤️ https:
From playlist PyTorch Tutorials
The Narrated Transformer Language Model
AI/ML has been witnessing a rapid acceleration in model improvement in the last few years. The majority of the state-of-the-art models in the field are based on the Transformer architecture. Examples include models like BERT (which when applied to Google Search, resulted in what Google cal
From playlist Language AI & NLP
VQ-GAN | PyTorch Implementation
In this video we are implementing the famous Vector Quantized Generative Adversarial Networks (VQGAN) paper using PyTorch. VQGAN is a generative model for image modeling. It was introduced in Taming Transformers for High-Resolution Image Synthesis. The concept is build upon two stages. The
From playlist Paper Implementations
Transformer Neural Networks - EXPLAINED! (Attention is all you need)
Please subscribe to keep me alive: https://www.youtube.com/c/CodeEmporium?sub_confirmation=1 BLOG: https://medium.com/@dataemporium ⭐ Coursera Plus: $100 off until September 29th, 2022 for access to 7000+ courses: https://imp.i384100.net/Coursera-Plus MATH COURSES (7 day free trial) 📕 M
From playlist Transformer Neural Networks