Welcome to: Advanced signal processing in joint time-frequency and time-scale domains
Description:
The course addresses advanced principles of analysis of information carried by various biological signals. Time or frequency domain analysis often fails to accurately capture the dynamics of non-stationary biological processes modulating the signals recorded by sensors. Basic principles of signal processing such as features extraction and filtering used in the time or frequency domains are extended in the joint time-frequency domain and in the joint time-scale domain. The course is intended to provide the understanding and practical use of the Wigner-Ville, Choi-Williams, Rihaczek, Cone-shaped and Adaptive-kernel quadratic time-frequency distributions, as well as of the wavelet transform with various types of wavelets. The course provides both lectures and hands-on workshops with emphasis on the practical aspects such as advantages and limitations of processing of signals recorded from the brain, muscles, and heart.
Prerequisites:
Basic knowledge in signal processing, mathematics and Matlab.
Learning objectives:
The course aims to provide the students with skills and knowledge in advanced signal processing as a valuable tool in designing of experiments and interpretation of data acquired.
Teaching methods:
Lectures and hands-on workshops distributed over 3 days with feedback from students after each session/day.
Criteria for assessment:
Evaluation of knowledge gained and associated to a specific task provided during the workshop will be performed during and oral assessment.
Key literature:
B. Boashash, Time-Frequency Signal Analysis and Processing, 2nd Edition, Academic Press, 2015
L. Debnath, Wavelet Transforms and Time Frequency Signal Processing, 2001
Organizer: Associate professor Romulus Lontis, lontis@hst.aau.dk
Lecturers: Associate professor Romulus Lontis, lontis@hst.aau.dk
ECTS: 1,5
Time: 21 + 28 March and 4 April 2019. All days 8:30-12:30
Place:
21 March, Fredrik Bajers Vej 7E, room 3-209
28 March and 4 April, Fredrik Bajers Vej 7E, room 3-109
Zip code: 9220
City: Aalborg Øst
Number of seats: 30
Deadline: 28 February 2019
Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
Description:
The course addresses advanced principles of analysis of information carried by various biological signals. Time or frequency domain analysis often fails to accurately capture the dynamics of non-stationary biological processes modulating the signals recorded by sensors. Basic principles of signal processing such as features extraction and filtering used in the time or frequency domains are extended in the joint time-frequency domain and in the joint time-scale domain. The course is intended to provide the understanding and practical use of the Wigner-Ville, Choi-Williams, Rihaczek, Cone-shaped and Adaptive-kernel quadratic time-frequency distributions, as well as of the wavelet transform with various types of wavelets. The course provides both lectures and hands-on workshops with emphasis on the practical aspects such as advantages and limitations of processing of signals recorded from the brain, muscles, and heart.
Prerequisites:
Basic knowledge in signal processing, mathematics and Matlab.
Learning objectives:
The course aims to provide the students with skills and knowledge in advanced signal processing as a valuable tool in designing of experiments and interpretation of data acquired.
Teaching methods:
Lectures and hands-on workshops distributed over 3 days with feedback from students after each session/day.
Criteria for assessment:
Evaluation of knowledge gained and associated to a specific task provided during the workshop will be performed during and oral assessment.
Key literature:
B. Boashash, Time-Frequency Signal Analysis and Processing, 2nd Edition, Academic Press, 2015
L. Debnath, Wavelet Transforms and Time Frequency Signal Processing, 2001
Organizer: Associate professor Romulus Lontis, lontis@hst.aau.dk
Lecturers: Associate professor Romulus Lontis, lontis@hst.aau.dk
ECTS: 1,5
Time: 21 + 28 March and 4 April 2019. All days 8:30-12:30
Place:
21 March, Fredrik Bajers Vej 7E, room 3-209
28 March and 4 April, Fredrik Bajers Vej 7E, room 3-109
Zip code: 9220
City: Aalborg Øst
Number of seats: 30
Deadline: 28 February 2019
Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Romulus Romulus