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31:28 Metal Detection and Metal Characterisation… Metal Detection and Metal Characterisation Research at Manchester: New Innovations on an Established Technology - Michael O'Toole	Metal Detection and Metal Characterisation Research at Manchester: New Innovations on an Established Technology - Michael O'Toole Mathematics for Detecting, Locating and Characterising Metal Objects Michael O'Toole, University of Manchester - Metal Detection and Metal Characterisation Research at Manchester: New… icms mathematics maths math metal detection metal characterisation manchester metal metals kind object shape objects components detection spectra component lot pieces induction features response frequency scrap eigenvalues tensor idea From Jane Walker 0 likes 14 plays 0 Licence Type All rights reserved Language English Date Created June 1st, 2021
57:18 LAGOON: Leicester Algebra and Geometry Open… LAGOON: Leicester Algebra and Geometry Open ONline: Matt Booth (Antwerp)	LAGOON: Leicester Algebra and Geometry Open ONline: Matt Booth (Antwerp) Subtitles will be added soon. spectrum category algebra ring thing molecule homology groups sort theorem space things categories spectra bit sequence complex definition structure suspension molecules sense From Liam Holligan 0 likes 27 plays 0 Course Code icms Publisher Liam Holligan Licence Type All rights reserved Language English Date Created May 13th, 2021
22:59 Topic 68: Concept of the Power Spectral… Topic 68: Concept of the Power Spectral Definition and its Origins (PETARS, Chapter 9)	Topic 68: Concept of the Power Spectral Definition and its Origins (PETARS, Chapter 9) This video introduces the frequency-domain description of stationary processes, through the equivalent but conceptually different ideas of stochastic decompositions and Fourier transforms of moments… autocorrelation power fourier domain frequency density transform omega sequence dtft process signal spectrum function signals infinity correlation processes spectra energy pgee11164 From James Hopgood 0 likes 192 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created November 18th, 2020
10:23 ML3: Dimensionality Reduction using Principal… ML3: Dimensionality Reduction using Principal Component Analysis	ML3: Dimensionality Reduction using Principal Component Analysis In this video, we will learn that we can use Principal Component Analysis (PCA) to find a transformation matrix that minimises reconstruction error for dimensionality reduction. We also show how this… matrix reconstruction dimensions jackson george error dimension components space x. columns variation transformation points dataset spectra clips audio speakers pca From Elliot Crowley 0 likes 20 plays 0

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Search for tag: "spectra"

Metal Detection and Metal Characterisation Research at Manchester: New Innovations on an Established Technology - Michael O'Toole

LAGOON: Leicester Algebra and Geometry Open ONline: Matt Booth (Antwerp)

Topic 68: Concept of the Power Spectral Definition and its Origins (PETARS, Chapter 9)

ML3: Dimensionality Reduction using Principal Component Analysis

the university of edinburgh