Search for tag: "philtre"
Improving documentation with photoshop 2023Improving digital documentation Images Adjustments RAW Filter Removing distracting elements Placing your work within a virtual Space Mock Up installations Mask, Perspective PDF Submissions
From Laia Gazpio
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Learn Introduction: Activity StreamThis video provides an overview of the Activity Stream within Learn
From Ellen Groen
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Mengwei Sun Presentation - SSPD 2021Presented at the Sensor Signal Processing for Defence Conference (SSPD) 2021Presentation: "Adaptive Kernel Kalman Filter" Speaker: Mengwei Sun, University of Edinburgh. Collaborators: Mike…
From Joe Burchell
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S&P Capital IQ: Screening for companies by industry and locationEly Fal from S&P Capital IQ explains how to screen for companies in a specific industry and location, add data items, and export your results to Excel.
From Catherine Ure
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Ryan McClarren (University of Notre Dame) - Intrusive Uncertainty Quantification for Hyperbolic Equations4 June 2021 Ryan McClarren (University of Notre Dame) - Intrusive Uncertainty Quantification for Hyperbolic Equations In this talk I will cover numerical techniques for quantifying parametric…
From Greg McCracken
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Victor Elvira: Graph discovery and Bayesian filtering in state-space modelsThis talk has captions. You can remove these by pressing CC on the video toolbar. Modeling and inference in multivariate time series is central in statistics, signal processing, and machine…
From Belle Taylor
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Poisson multi-Bernoulli mixture filters for multitarget tracking using sonarsPresentation from UDRC Themed Meeting on Signal Processing in the Underwater Environment by Angel Garcia Fernandez, University of Liverpool
From Maddy McBeath
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Topic 44: Under-sampling and Practical Data Systems (SNADA, Chapter 8)This Topic considers the concept of aliasing, which is signal distortion due to the spectral overlap of the spectral images that result from the sampling process. This Topic discusses the…
From James Hopgood
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Topic 43: Perfect Sampling, Derivation of Sampling Theorem, and Adequate Sampling (SNADA, Chapter 8)This Topic begins by discussing the mathematical model of perfect sampling, namely multiplying the signal (that is to be sampled) by an impulse train. Using this model, the Topic discusses how to…
From James Hopgood
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Topic 42: Introduction to Nyquist Sampling Theory (SNADA, Chapter 8)This Topic introduces the concept of a sampled data system, which aims to measure and store values from a continuous-time signal to produce a discrete-time representation. The video emphasis that…
From James Hopgood
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Topic 0C: Mid-course recap and future directions.This video provides a recap of what this course is considering, why it considered particular techniques, and what is coming up in terms of the signal analysis. The video describes the importance of…
From James Hopgood
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