Publication
Distributed bounded-error state estimation for partitioned systems based on practical robust positive invariance
MOOCs associés (17)
Selected Topics on Discrete Choice
Discrete choice models are used extensively in many disciplines where it is important to predict human behavior at a disaggregate level. This course is a follow up of the online course “Introduction t
Selected Topics on Discrete Choice
Discrete choice models are used extensively in many disciplines where it is important to predict human behavior at a disaggregate level. This course is a follow up of the online course “Introduction t
Digital Signal Processing I
Basic signal processing concepts, Fourier analysis and filters. This module can
be used as a starting point or a basic refresher in elementary DSP
Digital Signal Processing II
Adaptive signal processing, A/D and D/A. This module provides the basic
tools for adaptive filtering and a solid mathematical framework for sampling and
quantization
Digital Signal Processing III
Advanced topics: this module covers real-time audio processing (with
examples on a hardware board), image processing and communication system design.
Digital Signal Processing IV
Advanced topics: this module covers real-time audio processing (with
examples on a hardware board), image processing and communication system design.
Optimization: principles and algorithms - Linear optimization
Introduction to linear optimization, duality and the simplex algorithm.
Optimization: principles and algorithms - Linear optimization
Introduction to linear optimization, duality and the simplex algorithm.
Optimization: principles and algorithms - Network and discrete optimization
Introduction to network optimization and discrete optimization
Optimization: principles and algorithms - Network and discrete optimization
Introduction to network optimization and discrete optimization