Skip to main content
☰
Side panel
MyCourses
Schools
School of Arts, Design, and Architecture (ARTS)
School of Business (BIZ)
School of Chemical Engineering (CHEM)
–sGuides for students (CHEM)
– Instructions for report writing (CHEM)
School of Electrical Engineering (ELEC)
School of Engineering (ENG)
School of Science (SCI)
Language Centre
Open University
Library
Aalto university pedagogical training program
UNI (exams)
Sandbox
CORONAVIRUS INFO
Koronavirus - tietoa opiskelijalle
Coronavirus - information for students
Coronavirus - information för studerande
Koronaviruksen vaikutus opiskeluun: kysymyksiä ja vastauksia
Effects of the coronavirus on studies: questions and answers
Coronaviruset och studierna: frågor och svar
Corona help for teachers
Service Links
MyCourses
- Instructions for Teachers
- Teacher book your online session with a specialist
- Digital tools for teaching
- Personal data protection instructions for teachers
- Instructions for Students
- Workspace for thesis supervision
WebOodi
Into portal for students
Courses.aalto.fi
Library Services
- Resourcesguides
- Imagoa / Open science and images
IT Services
Campus maps
- Search spaces and see opening hours
Restaurants in Otaniemi
ASU Aalto Student Union
Aalto Marketplace
ALLWELL?
Study Skills
Support for Studying
Starting Point of Wellbeing
About AllWell? study well-being questionnaire
(en)
(en)
(fi)
(sv)
Hi guest! (
Log in
)
Course search
Go
ELEC-E8105 - Non-linear Filtering and Parameter Estimation P, 08.01.2020-08.04.2020
Home
Courses
school of ele...
department of...
elec-e8105 - ...
Sections
Materials
particle filt...
Syllabus
Particle filter codes
categ_rnd.m
1.2KB
gauss_pdf.m
1.5KB
gauss_rnd.m
857 bytes
pendulum_par.m
5.7KB
pendulum_pf.m
3.2KB
pendulum_pf2.m
3.4KB
pendulum_sim.m
1.3KB
pendulum_sim2.m
1.4KB
resampstr.m
1.3KB
Download folder
◄ Notes from iPad 26.2.2020
Jump to...
Jump to...
Announcements
General discussion
Arrangements of Course in Spring 2020
Overview of Bayesian Modeling of Time-Varying Systems
From linear regression to Kalman filter and beyond
Notes from iPad 15.1.2020
Recursive linear regression demo code
Bayesian optimal filtering equations and the Kalman filter
Notes from iPad 22.1.2020
Car tracking Kalman filter demo code
Extended Kalman filter and statistical linearization
Notes from iPad 29.1.2020
Pendulum with EKF
Unscented Kalman filter, Gaussian Filter, GHKF and CKF
Notes from iPad 5.2.2020
UKF/GHKF/CKF codes
Particle filtering
AVI videos
Notes from iPad 26.2.2020
Rao-Blackwellized particle filtering
Multiple target tracking toolbox
Notes from iPad 4.3.2020
Bayesian optimal smoother, Rauch-Tung-Striebel smoothing
Car tracking w/ Kalman filter and RTS smoother demo
Notes from iPad 11.3.2020
Gaussian and particle smoothers
Lecture 9 Video - Part 1
Quiz 9.1
Lecture 9 Video - Part 2
Quiz 9.2
Lecture 9 Video - Part 3
Quiz 9.3
Smoother Matlab examples (in the ends of the filter codes)
Bayesian estimation of parameters in state space models
Lecture 10 Video - Part 1
Quiz 10.1
Lecture 10 Video - Part 2
Quiz 10.2
Lecture 10 Video - Part 3
Quiz 10.3
Recap of the course topics
Zoom Lecture 11
Exercise 1 (Due: 2pm, Jan 15, 2020.)
Exercise 2 (Due: 2pm, Jan 22, 2020)
Exercise 3 (Due: 2pm, Jan 29, 2020)
Exercise 4 (Due: 2pm, Feb 5, 2020)
Exercise 5 (Due: 2pm, Feb 26, 2020)
Exercise 6 (Due: 2pm, Mar 4, 2020)
Exercise 7 (Due: 2pm, Mar 11, 2020)
Exercise 8 (Due: 2pm, Mar 18, 2020)
Exercise 9 (Due: 2pm, Mar 25, 2020.)
Exercise 10 (Due: 2pm, Apr 1st, 2020)
Project Selection (Due: Feb 26, 2020)
Project Work
Results of Exam 8.4.2020
Exam 8.4.2020
Rao-Blackwellized particle filtering ►
ELEC-E8105 - Non-linear Filtering and Parameter Estimation P, 08.01.2020-08.04.2020
Sections
General
Schedule
Materials
Exercises
Project
For Aalto users
Exam 8.4.2020
Home