Automata (computation)

Signal transition graphs

Signal Transition Graphs (STGs) are typically used in electronic engineering and computer engineering to describe dynamic behaviour of asynchronous circuits, for the purposes of their analysis or synthesis. (Wikipedia).

Signal transition graphs
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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

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Determining Signal Similarities

Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Find a signal of interest within another signal, and align signals by determining the delay between them using Signal Processing Toolbox™. For more on Signal Processing To

From playlist Signal Processing and Communications

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Signal Flow Graph Example Part 1

https://www.patreon.com/edmundsj If you want to see more of these videos, or would like to say thanks for this one, the best way you can do that is by becoming a patron - see the link above :). And a huge thank you to all my existing patrons - you make these videos possible. What is a sig

From playlist RF Amplifier Design

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Introduction to Linear Time Invariant System Descriptions

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. Introduces systems and their use in signal processing; defines linearity, time invariance, and causal sys

From playlist Introduction and Background

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Review of Linear Time Invariant Systems

http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Review: systems, linear systems, time invariant systems, impulse response and convolution, linear constant-coefficient difference equations

From playlist Introduction and Background

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Signal Flow Graph Introduction

https://www.patreon.com/edmundsj If you want to see more of these videos, or would like to say thanks for this one, the best way you can do that is by becoming a patron - see the link above :). And a huge thank you to all my existing patrons - you make these videos possible. This is an in

From playlist RF Amplifier Design

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Reconstruction and the Sampling Theorem

http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Analysis of the conditions under which a continuous-time signal can be reconstructed from its samples, including ideal bandlimited interpolati

From playlist Sampling and Reconstruction of Signals

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Introduction to Signal Processing

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. Introductory overview of the field of signal processing: signals, signal processing and applications, phi

From playlist Introduction and Background

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Introduction to Random Signal Representation

http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Introduction to the concept of a random signal, then review of probability density functions, mean, and variance for scalar quantities.

From playlist Random Signal Characterization

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GRCon20 - Ultra-cheap SDR Digital Television Transmission: ISDB-T with an osmo-fl2k and an RTL-SDR

Presented by Federico Larroca, Pablo Flores Guridi, David Artenstein, Lucas Inglés and Gastón Morales at GNU Radio Conference 2020 https://gnuradio.org/grcon20 We present the implementation in GNU Radio of an ISDB-T transmitter, the digital television standard used in most South American

From playlist GRCon 2020

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Ginestra Bianconi - Dynamics of higher-order networks: effect of topology and triadic interactions

Recorded 02 September 2022. Ginestra Bianconi of Queen Mary, University of London presents "The dynamics of higher-order networks: the effect of topology and triadic interactions" at IPAM's Reconstructing Network Dynamics from Data: Applications to Neuroscience and Beyond. Abstract: Higher

From playlist 2022 Reconstructing Network Dynamics from Data: Applications to Neuroscience and Beyond

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Your Brain will overload: Symmetry on Graph Neural Networks - R. Feynman to Bronstein

Explain Graph Neural Networks GNN, given current advances in Vision-NN or Language-NN with BERT. It all depends on the symmetry group of your input data! If you desire Lie groups, jump right in! Beginning with Landau-Lifschitz mathematics on conservation laws on physical systems, we visit

From playlist Learn Graph Neural Networks: code, examples and theory

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6.2.6 Synchronization and Metastability

MIT 6.004 Computation Structures, Spring 2017 Instructor: Chris Terman View the complete course: https://ocw.mit.edu/6-004S17 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62WVs95MNq3dQBqY2vGOtQ2 6.2.6 Synchronization and Metastability License: Creative Commons BY-NC

From playlist MIT 6.004 Computation Structures, Spring 2017

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Chao Gao: Statistical Optimality and Algorithms for Top-K Ranking - Lecture 2

CIRM VIRTUAL CONFERENCE In the first presentation, we will consider the top-K ranking problem. The statistical properties of two popular algorithms, MLE and rank centrality (spectral ranking) will be precisely characterized. In terms of both partial and exact recovery, the MLE achieves op

From playlist Virtual Conference

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11. LTI channel and intersymbol interference

MIT 6.02 Introduction to EECS II: Digital Communication Systems, Fall 2012 View the complete course: http://ocw.mit.edu/6-02F12 Instructor: Hari Balakrishnan, George Verghese This lecture provides an introduction to Audiocom, which is used for the unit's assignments. The demonstration add

From playlist MIT 6.02 Introduction to EECS II: Digital Communication Systems, Fall 2012

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Guilherme Ost & et Claudia Vargas - Retrieving the structure of probabilistic sequences...

Retrieving the structure of probabilistic sequences of auditory stimuli from electroencephalographic (EEG) signals ---------------------------------- 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 c

From playlist Workshop "Workshop on Mathematical Modeling and Statistical Analysis in Neuroscience" - January 31st - February 4th, 2022

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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

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Stanford Seminar - Advanced Technology for the Common Good

"Advanced Technology for the Common Good" -Andrew Eland, Google This seminar features leading Industrial and academic experts on big data analytics, information management, data mining, machine learning, and large-scale data processing. Learn more: http://stanford.io/1CnPxC8

From playlist Statistics and Data Science

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Motion Graphs (4 of 8) Velocity vs. Time Graph Part 1

Shows how to read a velocity vs. time graph including direction of motion, velocity, acceleration and how to calculate the acceleration. You can see a listing of all my videos at my website, http://www.stepbystepscience.com Motion graphs are an excellent way to get an understanding of an

From playlist Motion Graphs; Position and Velocity vs. Time

Related pages

Petri net unfoldings | Theory of regions | Petri net | Mutual exclusion | Asynchronous circuit