Signal estimation

Wiener deconvolution

In mathematics, Wiener deconvolution is an application of the Wiener filter to the noise problems inherent in deconvolution. It works in the frequency domain, attempting to minimize the impact of deconvolved noise at frequencies which have a poor signal-to-noise ratio. The Wiener deconvolution method has widespread use in image deconvolution applications, as the frequency spectrum of most visual images is fairly well behaved and may be estimated easily. Wiener deconvolution is named after Norbert Wiener. (Wikipedia).

Wiener deconvolution
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Chemical Reactions (4 of 11) Decomposition Reactions, An Explanation

Describes the basics of decomposition reactions, how to identify them, predict the products and balance the chemical equation. Two examples are also shown, decomposition of sugar and hydrogen peroxide. A chemical reaction is a process that leads to the chemical change of one set of chemic

From playlist Chemical Reactions and Stoichiometry

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6A Matrix Reduction with Gauss Elimination-YouTube sharing.mov

The complicated issue of row reduction using elementary row operations (Gauss elimination).

From playlist Linear Algebra

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Chemistry - Oxidation-Reduction Reaction (8 of 19) De-Combination Reactions

Visit http://ilectureonline.com for more math and science lectures! In this video I will explain and give examples of decombination reactions.

From playlist CHEMISTRY 20 OXIDATION REDUCTION REACTIONS

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Phase separation in the Allen-Cahn equation, with a start in slow motion

Like the video https://youtu.be/t1swj0QJUTw this simulation shows a solution of the Allen-Cahn equation for phase separation, on a rectangular domain with periodic boundary conditions, starting from a random initial configuration. Time has been slowed down at the beginning, to give a bette

From playlist Reaction-diffusion equations

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Vector spaces and subspaces

After our introduction to matrices and vectors and our first deeper dive into matrices, it is time for us to start the deeper dive into vectors. Vector spaces can be vectors, matrices, and even function. In this video I talk about vector spaces, subspaces, and the porperties of vector sp

From playlist Introducing linear algebra

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Electromagnetic induction and Antigravity!!!

Physics demonstrations (la physique)!!!

From playlist physics

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Stanford CS230: Deep Learning | Autumn 2018 | Lecture 7 - Interpretability of Neural Network

Andrew Ng, Adjunct Professor & Kian Katanforoosh, Lecturer - Stanford University http://onlinehub.stanford.edu/ Andrew Ng Adjunct Professor, Computer Science Kian Katanforoosh Lecturer, Computer Science To follow along with the course schedule and syllabus, visit: http://cs230.stanfo

From playlist Stanford CS230: Deep Learning | Autumn 2018

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Inaugural Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series Talk

Date: Wednesday, October 14, 10:00am EDT Speaker: Michael Friedlander, University of British Columbia Title: Polar deconvolution of mixed signals Abstract: The signal demixing problem seeks to separate the superposition of multiple signals into its constituent components. We model the s

From playlist Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series

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14. Spectral representation of signals

MIT 6.02 Introduction to EECS II: Digital Communication Systems, Fall 2012 View the complete course: http://ocw.mit.edu/6-02F12 Instructor: George Verghese This lecture starts with a demonstration of echo cancelation using deconvolution, and then continues to cover the spectral content of

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

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Large deviations for the Wiener Sausage by Frank den Hollander

Large deviation theory in statistical physics: Recent advances and future challenges DATE: 14 August 2017 to 13 October 2017 VENUE: Madhava Lecture Hall, ICTS, Bengaluru Large deviation theory made its way into statistical physics as a mathematical framework for studying equilibrium syst

From playlist Large deviation theory in statistical physics: Recent advances and future challenges

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DEMO | Dangerous Doppler

Here is a demonstration of the doppler effect.

From playlist All Demonstrations

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Blind Deconvolution of galaxy survey images - Starck - Workshop 2 - CEB T3 2018

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From playlist 2018 - T3 - Analytics, Inference, and Computation in Cosmology

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Large deviation theory in statistical physics: Recent advances and future challenges DATE: 14 August 2017 to 13 October 2017 VENUE: Madhava Lecture Hall, ICTS, Bengaluru Large deviation theory made its way into statistical physics as a mathematical framework for studying equilibrium syst

From playlist Large deviation theory in statistical physics: Recent advances and future challenges

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TDLS: Large-Scale Unsupervised Deep Representation Learning for Brain Structure

Toronto Deep Learning Series, 20 August 2018 For slides and more information, visit https://tdls.a-i.science/events/2018-08-20/ Paper Review: https://arxiv.org/abs/1805.01049 Speaker: https://www.linkedin.com/in/janeillarionova/ Organizer: https://www.linkedin.com/in/amirfz/ Host: RBC

From playlist Machine Learning for Scientific Discovery

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Gabriel Peyré: Exact Support Recovery for Sparse Spikes Deconvolution

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From playlist HIM Lectures: Trimester Program "Mathematics of Signal Processing"

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Chemical Reactions (3 of 11) Combustion Reactions, An Explanation

Describes the basics of combustion reactions, how to identify them, predict the products and balance the chemical equation. Three explosions are included, methane mamba, whoosh bottle and hydrogen gas balloon. A chemical reaction is a process that leads to the chemical change of one set o

From playlist Chemical Reactions and Stoichiometry

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Planetary Imaging

To learn more about Wolfram Technology Conference, please visit: https://www.wolfram.com/events/technology-conference/ Speaker: Tom Sherlock Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment, mobile devices, and

From playlist Wolfram Technology Conference 2018

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Lecture 9: Computational imaging: a survey of medical and scientific applications

MIT MAS.531 Computational Camera and Photography, Fall 2009 Instructor: Douglas Lanman (guest lecturer from Brown University) View the complete course: https://ocw.mit.edu/courses/mas-531-computational-camera-and-photography-fall-2009/ YouTube Playlist: https://www.youtube.com/playlist?li

From playlist MIT MAS.531 Computational Camera and Photography, Fall 2009

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Special Relativity B1 Time Dilation

Relativistic time dilation.

From playlist Physics - Special Relativity

Related pages

Complex conjugate | Blind deconvolution | Expected value | Information field theory | Wiener filter | Mathematics | Plancherel theorem | Wirtinger derivatives | Signal-to-noise ratio | Frequency domain | Fourier transform | Impulse response | Deconvolution | Parseval's theorem | Convolution