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Estimation - Detection

Lecture (3EN TSI and M2 SIP)
ENSEEIHT, Toulouse
Fall 2016

This course is part of the final year of the Master level programs "Electronique et Traitement du Signal" and "Signal Image Processing" specialization of "ESECA" (7 lectures, 2 exercise sessions, 2h units each).

Contents

Estimation
quality of estimators, Cramer-Rao bounds, maximum likelihood estimation, method of moments, Bayesian estimation, confidence inetrvals
Detection
test principles, Neyman Pearson test, Bayesian tests for simple and composite hypoteses, generalized likelihood ratio test, goodness of fit tests (Chi2, Kolmogorov)

Material

No lecture notes are provided. Attendance of lectures and exercise sessions is highly recommended.
TD: exercises 1 exercises 2
solutions 1 solutions 2
Exam: exam '16 allowed material: one A4 page (recto-verso) of own hand-written notes
solutions - 21.10.2016 - 10:00-12:00


Inverse Problems

Lecture (3EN TSI and M2 SIP)
ENSEEIHT, Toulouse
Fall 2016
In collaboration with Nicolas DOBIGEON

This course is part of the final year of the Master level programs "Electronique et Traitement du Signal" and "Signal Image Processing" specialization of "ESECA" (7 lectures, 2 exercise sessions, 2h units each).

Past activity

Estimation - Detection (2012 - 2015)

2015: exam solutions
2014: exam solutions
2013: exam solutions
allowed material: one A4 page (recto-verso) of own hand-written notes

Inverse Problems (2013 - 2015)


. . . under construction