Course

MICRO-310(a): Signals and systems I (for MT)

Summary

Présentation des concepts et des outils de base pour la caractérisation des signaux ainsi que pour l'analyse et la synthèse des systèmes linéaires (filtres ou canaux de transmission). Application de ces techniques au traitement du signal et aux télécommunications.

Lectures

Instructors (2)

Michaël Unser

Expertise Image Processing, Medical Imaging, Biological Imaging, Wavelets, Splines, Multiresolution Michael Unser is Full Professor with EPFL’s school of Engineering and the academic director of EPFL's Center for Imaging, Lausanne, Switzerland. His primary areas of investigation are signal processing, biomedical imaging and applied functional analysis. He is internationally recognized for his research contributions to sampling theory, wavelets, the use of splines for image processing, stochastic processes,

Dimitrios Karampinos

Teaching & PhD PhD Students Rafael Ignacio De la Sotta Vargas, Louis Peyratoux, Yutong Luo, Marinus Johannes Vermeulen, Yang Gao Courses Mechanism Design I MICRO-200 This course introduces the basics of structural mechanics: calculation of stresses and strains caused by external forces and calculation of strains. This theoretical training is applied to the design of important elements of precision mechanisms.

Official source

https://edu.epfl.ch/coursebook/en/signals-and-systems-i-for-mt-MICRO-310-A

Moodle Page

http://go.epfl.ch/MICRO-310_a

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Summary

Lectures

Instructors (2)

Michaël Unser

Dimitrios Karampinos

Official source

https://edu.epfl.ch/coursebook/en/signals-and-systems-i-for-mt-MICRO-310-A

Moodle Page

http://go.epfl.ch/MICRO-310_a

Lectures in this course (26)

Signal Processing & Micro-Systems

Covers examples of signal processing, analog signal processing, continuous amplitude modulation, image processing, compression, micro-systems, and medical electronics.

Signals & Systems I: Micro-Systems and Communication Systems

Introduces the fundamentals of signals and systems, communication systems, and signal processing.

Signals & Systems I: Distributions and Linear Systems

Covers distributions, linear systems, impulse response, convolution, and examples of linear systems.

Signals and Systems: Mathematical Description and Identification Strategies

Explores signals and systems, mathematical description, stability, types of systems, input signals, vector and signal analogy, matrix and linear system analogy, and canonical basis.

Signals & Systems I: Characteristic Modes and Green Functions

Explores characteristic modes, green functions, stability criteria, and system response to complex excitations.

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