Search for tag: "summation"

11 Media

34:34 REF2020: Feng Yuan- Small-x TMDs an overview REF2020: Feng Yuan- Small-x TMDs an overview	REF2020: Feng Yuan- Small-x TMDs an overview REF2020: Feng Yuan- Small-x TMDs an overview higgs centre ref2020 tmd process ground scale formula evolution talk tmds distribution dependence summation result calculation framework paper lot saturation dipole moment factor From Lyndsey Ballantyne on December 11th, 2020 0 likes 9 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created December 9th, 2020
32:23 Topic 72: Time-Domain Analysis of Response to… Topic 72: Time-Domain Analysis of Response to Random Signals using the System Impulse Response (PETARS, Chapter 10)	Topic 72: Time-Domain Analysis of Response to Random Signals using the System Impulse Response (PETARS, Chapter 10) This video looks at the method for calculating the output statistics for a linear time-invariant (LTI) system in response to a wide-sense stationary (WSS) input using a time-domain method given the… pgee11164 output input response impulse autocorrelation sequence covariance function convolution cross correlation summation expression minus auto statistics linear decay process result From James Hopgood on November 26th, 2020 0 likes 55 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created November 26th, 2020
23:18 Topic 70: Cross-Power and Complex Spectral… Topic 70: Cross-Power and Complex Spectral Densities (PETARS, Chapter 9)	Topic 70: Cross-Power and Complex Spectral Densities (PETARS, Chapter 9) This Topic extends the definition of the power-spectral density in two ways. First, it considers the cross-power spectral density (CPSD) for considering the spectral characteristics of two-jointly… pgee11164 cross density correlation function power transform sequence signal omega expression signals summation fourier domain frequency table minus dtft convergence sum From James Hopgood on November 24th, 2020 0 likes 48 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created November 21st, 2020
20:15 Topic 69: Definition and Properties of the… Topic 69: Definition and Properties of the Power-Spectral Density (PETARS, Chapter 9)	Topic 69: Definition and Properties of the Power-Spectral Density (PETARS, Chapter 9) This video presents the formal definition of the power-spectral density (PSD) of a wide-sense stationary (WSS) process, and its inverse relationship, both through discrete-Time Fourier Transform… pgee11164 power omega autocorrelation density fourier sequence transform function pi minus spectral component process dtft domain frequencies summation expression infinity phases From James Hopgood on November 19th, 2020 0 likes 51 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created November 18th, 2020
21:11 Topic 63: Properties of Autocorrelation sequences… Topic 63: Properties of Autocorrelation sequences for WSS processes (PETARS, Chapter 8)	Topic 63: Properties of Autocorrelation sequences for WSS processes (PETARS, Chapter 8) Second-order statistics are fundamental to the definition of wide-sense stationary (WSS) processes, and this video considers the properties that a WSS autocorrelation sequence (ACS) must satisfy.… pgee11164 autocorrelation function correlation sequence auto semi lag property process fourier power properties functions moment definition sequences summation fact conjugate values From James Hopgood on November 8th, 2020 0 likes 83 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created November 8th, 2020
25:34 Topic 60: Statistical Description of Random… Topic 60: Statistical Description of Random Processes (PETARS, Chapter 8)	Topic 60: Statistical Description of Random Processes (PETARS, Chapter 8) As with random vectors, other than in certain special cases, it can be difficult to describe and manipulate random processes through the use of joint-probability density functions (pdfs), although… pgeee11164 autocorrelation phi process values expectation sequence variables times function processes k. respect pdf expression summation point minus omega n2 term From James Hopgood on November 3rd, 2020 0 likes 78 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created November 3rd, 2020
23:17 Topic 46: Cramer-Rao Lower Bound (PETARS, Chapter… Topic 46: Cramer-Rao Lower Bound (PETARS, Chapter 6)	Topic 46: Cramer-Rao Lower Bound (PETARS, Chapter 6) In this video, the question of finding the lower bound on the performance of all estimators for a particular probabilistic problem, as a benchmark with which to compare the performance of a given… pgee11164 estimator variance function likelihood expectation kramer times log term estimators a. expression derivative summation respect form sigma variables parameter minus From James Hopgood on October 24th, 2020 0 likes 95 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created October 23rd, 2020
20:20 Topic 43: Measuring Performance of an Estimator… Topic 43: Measuring Performance of an Estimator (PETARS, Chapter 6)	Topic 43: Measuring Performance of an Estimator (PETARS, Chapter 6) In this video, the question of measuring and quantifying the performance of an estimator is discussed. The video focusses on the concepts and definitions of bias and variance of the probability… pgee11164 estimator variance bias function times sample values expectation mu clock hat distribution probability sum n. pdf points parameter estimation summation From James Hopgood on October 22nd, 2020 0 likes 95 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created October 22nd, 2020
18:24 Topic 40: Sum of Independent Random Variables… Topic 40: Sum of Independent Random Variables (PETARS, Chapter 5)	Topic 40: Sum of Independent Random Variables (PETARS, Chapter 5) This Topic considers further the sum of random variables that was introduced in Topic 33 on auxiliary variables. The case of independent random variables and vectors is considered specifically,… pgee11164 variables sum probability function pdf convolution functions result mass expectation times l. summation respect overlap inverse variable density sense k. From James Hopgood on October 18th, 2020 0 likes 70 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created October 16th, 2020
01:32 Introduction to IFP art and design courses Introduction to IFP art and design courses	Introduction to IFP art and design courses Senior Teaching Fellow Robbie Bushe gives an overview of the two art and design courses on International Foundation Programme offer vey the Centre for Open Learning. art and design international students foundation programme ifp centre for open learning ideas step experiences term journal sketchbook portfolio summation workforces meanings feelings features investigation focus tutorials museums galleries approach shows concepts From Robbie Bushe on August 28th, 2020 0 likes 91 plays 0 Publisher Centre for Open Learning Licence Type All rights reserved The University of Edinburgh Language English Date Created August 28th, 2020
04:01 Missing Values in Naive Bayes Missing Values in Naive Bayes	Missing Values in Naive Bayes Missing Values in Naive Bayes iaml probability tail head event j. values observations term toss reason summation probabilities mark question coin fact hack test attribute observation From Nigel Goddard on September 17th, 2016 2 likes 2,390 plays 2 Licence Type Creative Commons - Attribution

Search for tag: "summation"

the university of edinburgh