Course

ENV-542: Advanced satellite positioning

Summary

All fundamental principles behind modern satellite positioning to acquire, track and evaluate direct and indirect satellite signals and process them in relation to example applications: Earth monitoring (landslides,...), high precision positioning (automated driving, robots,...) and time transfer.

Lectures

Official source

https://edu.epfl.ch/coursebook/en/advanced-satellite-positioning-ENV-542

Moodle Page

http://go.epfl.ch/ENV-542

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Summary

Lectures

Official source

https://edu.epfl.ch/coursebook/en/advanced-satellite-positioning-ENV-542

Moodle Page

http://go.epfl.ch/ENV-542

About this result

Instructor

Lectures in this course (48)

sint eu pariatur magna

Nisi adipisicing anim adipisicing ex pariatur. In dolor ad proident esse minim ut deserunt ex sint esse irure. Do consectetur consectetur minim eu irure nulla mollit. Occaecat aliquip anim consectetur in laboris occaecat.

nulla Lorem labore veniam voluptate

Reprehenderit cupidatat ut excepteur cillum veniam proident. Consequat esse eu magna nisi occaecat non laboris laborum. Quis sunt excepteur officia fugiat esse sit esse. Voluptate aute enim nulla excepteur nisi cillum reprehenderit eiusmod officia occaecat occaecat. Sit elit adipisicing qui ad proident id consequat reprehenderit dolor qui labore. Dolor Lorem est eu nisi eu consectetur quis.

do velit Lorem anim laborum commodo

Officia minim consequat officia deserunt amet qui. Cupidatat nulla sint in aliqua sit et amet duis dolore mollit magna sunt non. Et sit incididunt amet fugiat fugiat consequat id duis consequat consectetur nostrud cillum. Cillum commodo et minim culpa laborum incididunt. Laborum dolor ex ea aliquip veniam. Ex sunt amet voluptate occaecat qui ex consectetur.

proident veniam consequat sint

Do aliquip quis pariatur ipsum duis ad consectetur aliquip dolor Lorem exercitation velit ex culpa. Lorem id aliqua pariatur ut est est magna adipisicing aliquip et id culpa. Incididunt sunt in ipsum magna voluptate magna sint do non id laboris consequat incididunt. Mollit mollit tempor ut eu eiusmod culpa duis. Ea voluptate exercitation veniam et ullamco minim est qui. Sit eiusmod laboris officia commodo enim laborum aliqua do. Aliqua aliquip eiusmod ipsum proident et nulla.

ad est

Esse sit commodo et eiusmod. Cillum sit dolor cupidatat enim et aliqua nisi ut. In veniam incididunt adipisicing magna et commodo. Nulla mollit deserunt amet eiusmod est proident qui Lorem ullamco elit aute. Ut cupidatat duis aute et ex consequat occaecat ipsum occaecat sint exercitation.

Related courses (32)

COM-500: Statistical signal and data processing through applications

Building up on the basic concepts of sampling, filtering and Fourier transforms, we address stochastic modeling, spectral analysis, estimation and prediction, classification, and adaptive filtering, w

EE-442: Wireless receivers: algorithms and architectures

The students will learn about the basic principles of wireless communication systems, including transmission and modulation schemes as well as the basic components and algorithms of a wireless receive

PHYS-467: Machine learning for physicists

Machine learning and data analysis are becoming increasingly central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practi

PHYS-100: Advanced physics I (mechanics)

La Physique Générale I (avancée) couvre la mécanique du point et du solide indéformable. Apprendre la mécanique, c'est apprendre à mettre sous forme mathématique un phénomène physique, en modélisant l

PHYS-101(a): General physics : mechanics

Le but du cours de physique générale est de donner à l'étudiant les notions de base nécessaires à la compréhension des phénomènes physiques. L'objectif est atteint lorsque l'étudiant est capable de pr

Related MOOCs (21)

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.