Fernando/SignalAnalysisPhDCourse

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Multiscale and Multidimensional Analysis
Contact: Fernando Alonso-Fernandez


Multiscale and Multidimensional Analysis course (Autumn 2016)

This is the web page for the PhD course Multiscale and Multidimensional Analysis.

Course information

Instructor: Fernando Alonso-Fernandez

Class time: The schedule for the course will be made ad hoc, using doodle or by agreement over email.

Class location: F5.

Office hours: by appoinment.

Contact: feralo(AHTT)hh.se.

Course description

The course is focused on the topic of multi-scale and multi-dimensional signal analysis. More particularly, it will provide with advanced concepts and techniques to extract useful information from signals of arbitrary dimension (such as audio (1D) and image (2D) signals), drawing on topics from the signal/image processing and computer vision fields.

Communication: by email or in person. Communication WILL NOT be done through blackboard.

Office hours: There are no regularly scheduled office hours, but you can always arrange a meeting with the instructors. Just send an email or drop by.

Grading: by assignment

Prerequisites: linear algebra (vector and matrix operations), probability theory/statistics, signal processing, image processing and multi-variate calculus. The course assumes a programing background (primarily in Matlab).