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Detecting LFM Parameters in Joint Communications… duration 1 minute 10 seconds Detecting LFM Parameters in Joint Communications… Detecting LFM Parameters in Joint Communications and Radar Frequency Bands - Kaiyu Zhang	Detecting LFM Parameters in Joint Communications and Radar Frequency Bands - Kaiyu Zhang SSPD 2021 Poster Lightning Presentation SessionPresenter: Kaiyu ZhangPoster Title: Detecting LFM Parameters in Joint Communications and Radar Frequency BandsCollaborators: Fraser K Coutts and John… sspd 2021 method parameters paper transform waveform ofdm frequency signal scenario staff apple rfm error level technique hough receiver fourier fm modulation From Joe Burchell 0 likes 18 plays 0 Licence Type All rights reserved Language English Date Created October 14th, 2021
Dynamics Scenario Workshop Recording Sept 2021 duration 22 minutes 0 seconds Dynamics Scenario Workshop Recording Sept 2021 Dynamics Scenario Workshop Recording Sept 2021	Dynamics Scenario Workshop Recording Sept 2021 In this video, EMT colleagues walk you through six scenarios you are likely to encounter when using Dynamics. Please note that we are using Sandbox, or UAT, the Dynamics training environment. We… dynamics uat sandbox scenario scenarios scenarioworkshop webform emails uun test training videos inquiry team response timeline application attachment text cases side documents record reply hand document inquiries form waveform question From Josie Shirra 0 likes 106 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created September 28th, 2021 Retain Source File Yes
Research in Edinburgh Prof. Donal O'Connell duration 31 minutes 51 seconds Research in Edinburgh Prof. Donal O'Connell Research in Edinburgh Prof. Donal O'Connell	Research in Edinburgh Prof. Donal O'Connell Quantum methods and Classical Gravity - short talk by Prof Donal O'Connell about some research that our academic team are currently involved in. physics sample lecture higgs centre reserach quantum methods and classical gravity wave physics amplitudes amplitude scattering theory holes thing particles things distance picture lhc relativity form waves gravity waveform bit perturbation From Ala Ross 0 likes 20 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created June 25th, 2021
Lecture 4_Multiplexing duration 14 minutes 24 seconds Lecture 4_Multiplexing Lecture 4_Multiplexing	Lecture 4_Multiplexing Multiplexing snada communication systems signal frequency signals multiplexing division tdm hierarchy bandwidth pool fdm level output transmission telephony philtre diagram modulation swimming waveform control From Wasiu Popoola 0 likes 127 plays 0 Licence Type All rights reserved The University of Edinburgh
Lecture 3_AngleModulation duration 40 minutes 22 seconds Lecture 3_AngleModulation Lecture 3_AngleModulation	Lecture 3_AngleModulation Introduction to communication systems_Analogue Angle Modulation snada introduction to communication systems communication systems frequency fm modulation signal bandwidth angle phase amplitude cosine expression beta omega equation waveform deviation band change theta infinity power From Wasiu Popoola 0 likes 220 plays 0 Licence Type All rights reserved The University of Edinburgh
Topic 42: Introduction to Nyquist Sampling Theory… duration 15 minutes 25 seconds Topic 42: Introduction to Nyquist Sampling Theory… Topic 42: Introduction to Nyquist Sampling Theory (SNADA, Chapter 8)	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… elee08021 signal sampling waveform samples frequency period reconstruction output sample philtre cd analogue electronics converter input kilohertz times result debate vinyl From James Hopgood 1 likes 325 plays 0 Course Code ELEE08021 Licence Type All rights reserved Date Created February 21st, 2021
Optional Topic 41: Fourier Transform of a Fourier… duration 14 minutes 4 seconds Optional Topic 41: Fourier Transform of a Fourier… Optional Topic 41: Fourier Transform of a Fourier Series (SNADA, Chapter 7)	Optional Topic 41: Fourier Transform of a Fourier Series (SNADA, Chapter 7) This Topic reconciles the Fourier Series and Fourier Transform, by bringing the analysis techniques together through considering the Fourier Transform of a Fourier Series, using the definition of… elee08021 fourier transform omega series frequency spectrum function delta impulse phasor impulses times functions analysis train topic sense a. infinity waveform From James Hopgood 0 likes 180 plays 0 Course Code ELEE08021 Licence Type All rights reserved Date Created February 21st, 2021
Topic 0C: Mid-course recap and future directions. duration 18 minutes 1 second Topic 0C: Mid-course recap and future directions. Topic 0C: Mid-course recap and future directions.	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… elee08021 signal sampling signals impulse theory fourier sample analysis train philtre reconstruction series transform converter sensor result implementation processing measurements waveform From James Hopgood 1 likes 120 plays 0 Course Code ELEE08021 Licence Type All rights reserved Date Created February 9th, 2021
Topic 30: Intuitive Derivation of the Fourier… duration 15 minutes 59 seconds Topic 30: Intuitive Derivation of the Fourier… Topic 30: Intuitive Derivation of the Fourier Transform from Complex Fourier Series (SNADA, Chapter 6)	Topic 30: Intuitive Derivation of the Fourier Transform from Complex Fourier Series (SNADA, Chapter 6) This Topic introduces the Fourier transform as the limiting operation of taking a periodic signal, and sending the period to infinity, so as to represent a non-periodic signal. The Topic… fourier period spectrum frequency signal transform pulse minus hertz times waveform tau infinity frequencies naught components shape function coefficients sinc elee08021 From James Hopgood 0 likes 393 plays 0 Course Code ELEE08021 Licence Type All rights reserved Date Created February 1st, 2021
Topic 21: Insight into the Trigonometric Fourier… duration 12 minutes 52 seconds Topic 21: Insight into the Trigonometric Fourier… Topic 21: Insight into the Trigonometric Fourier Series (SNADA, Chapter 5)	Topic 21: Insight into the Trigonometric Fourier Series (SNADA, Chapter 5) This Topic seeks to expand our understanding of Fourier Series. First, through an example, the Topic considers the general form or structure of the trigonometric Fourier series, and what is a… signal error image series compression fourier approximation waveform period power harmonics question sines analysis components threshold energy size choice capital elee08021 From James Hopgood 2 likes 484 plays 0 Course Code ELEE08021 Licence Type All rights reserved Date Created January 24th, 2021
Topic 20: Revision of Trigonometric Fourier… duration 28 minutes 21 seconds Topic 20: Revision of Trigonometric Fourier… Topic 20: Revision of Trigonometric Fourier Series (SNADA, Chapter 5)	Topic 20: Revision of Trigonometric Fourier Series (SNADA, Chapter 5) This Topic gives a revision of Trigonometric Fourier Series. It builds on the motivation for using signal decompositions for analysing signals, and decomposes any finite power periodic signal… elee08021 signal omega series naught period waveform pi fourier sinusoids minus times expression function coefficients t. term coefficient summation analysis harmonics From James Hopgood 0 likes 388 plays 0 Course Code ELEE08021 Licence Type All rights reserved Date Created January 20th, 2021
Topic 17: Deterministic time-series signal… duration 15 minutes 57 seconds Topic 17: Deterministic time-series signal… Topic 17: Deterministic time-series signal classification (SNADA, Chapter 4)	Topic 17: Deterministic time-series signal classification (SNADA, Chapter 4) This Topic considers four different types of deterministic signals, namely continuous-time periodic signals and non-periodic signals, and discrete-time periodic and non-periodic signals. The… signal signals frequency spectrum domain transform amplitude samples duration analysis point capital period waveform frequencies representation lot infinity method fourier elee08021 From James Hopgood 0 likes 439 plays 0 Course Code ELEE08021 Licence Type All rights reserved Date Created January 18th, 2021
Topic 15: Definition of Signals (SNADA, Chapter 5) duration 14 minutes 34 seconds Topic 15: Definition of Signals (SNADA, Chapter 5) Topic 15: Definition of Signals (SNADA, Chapter 5)	Topic 15: Definition of Signals (SNADA, Chapter 5) This topic introduces the mathematical definitions of signals, and terminology used to describe signals, for example multi-dimensional and multi-channel signals. The topic discusses a variety of… signal signals image channel space colour notation waveform moment analysis channels dimension images points pixels screen speech sequence plot amplitude elee08021 From James Hopgood 2 likes 483 plays 0 Course Code ELEE08021 Licence Type All rights reserved Date Created January 16th, 2021
MLP Interviews - Jinhong Lu duration 50 minutes 35 seconds MLP Interviews - Jinhong Lu MLP Interviews - Jinhong Lu	MLP Interviews - Jinhong Lu Machine Learning Practical interviews - Winter 2020 - Session 1/4. Jinhong Lu is a PhD student at the University of Edinburgh focussing on "head motion synthesis", "speech-driven… machine learning deep learning autoencoders speech motion-synthesis model motion students team waveform problem head lot thing correlation question nlp things cca hip guangzhou error student tutor From Pavlos Andreadis 1 likes 54 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
Adaptive Waveform Design for MIMO Active Sensing… duration 3 minutes 37 seconds Adaptive Waveform Design for MIMO Active Sensing… Adaptive Waveform Design for MIMO Active Sensing Systems - Dr. Steven Herbert.	Adaptive Waveform Design for MIMO Active Sensing Systems - Dr. Steven Herbert. University Defence Research Collaboration Edinburgh Consortium Demo video presented by Dr. Steven Herbert. Edited and Produced by Vivid Science Productions. udrc school of engineering mimo sensors adaptive waveform design From Joseph William Burchell 0 likes 14 plays 0 Licence Type All rights reserved
Representing Music with Fourier Coefficients duration 4 minutes 36 seconds Representing Music with Fourier Coefficients Representing Music with Fourier Coefficients	Representing Music with Fourier Coefficients Representing Music with Fourier Coefficients iaml data series weights frequencies transformations amplitude values attributes piece sine fourier base waves signal instant volume representation waveform wave frequency mixture From Nigel Goddard 1 likes 2,743 plays 0 Licence Type Creative Commons - Attribution No Derivatives