1 / 8

Maths for Signals and Systems Linear Algebra in Engineering Class 2, Tuesday 2 nd November 2014

Maths for Signals and Systems Linear Algebra in Engineering Class 2, Tuesday 2 nd November 2014. DR TANIA STATHAKI READER (ASSOCIATE PROFFESOR) IN SIGNAL PROCESSING IMPERIAL COLLEGE LONDON. Mathematics for Signals and Systems. Mathematics for Signals and Systems.

irvinge
Télécharger la présentation

Maths for Signals and Systems Linear Algebra in Engineering Class 2, Tuesday 2 nd November 2014

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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

  5. Mathematics for Signals and Systems

  6. Mathematics for Signals and Systems

  7. Mathematics for Signals and Systems

  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.

More Related