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Mastering Linear Algebra for Signals and Systems

Prepare for your exam with a focus on subspaces, decompositions, projections, determinants, and least squares method. Dr. Tania Stathaki, Imperial College London, covers essential algorithms for real-life scenarios.

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Mastering Linear Algebra for Signals and Systems

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  1. Maths for Signals and SystemsLinear Algebra in EngineeringClass 2, Tuesday 2nd November 2014 DR TANIA STATHAKI READER (ASSOCIATE PROFFESOR) IN SIGNAL PROCESSINGIMPERIAL COLLEGE LONDON

  2. Mathematics for Signals and Systems

  3. Mathematics for Signals and Systems

  4. Mathematics for Signals and Systems

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  8. Mathematics for Signals and Systems • Exam • Exam questions will be of similar style and difficulty as the 6 Tutorial Sheets and also the problems in the notes. • Make sure you have paid attention to detail and you are able to use the various algorithms you learnt in real life scenarios. • Emphasize on: • The 4 subspaces. • The 5 decompositions: LU, QR, eigenvalue decomposition, decomposition into orthogonal matrices, SVD. • Projections. • Properties of determinants. • Least squares method.

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