Spectral Processing of Signals
The schedule for the course can be found here.
20151023 The course is over and the results will be in Uppdok shortly (the results are also visible in studentportalen of course). Let me know if you have any questions. Thank you!
20151001 I will not be back in the office until 15 Oct, good luck with HW4, and try to talk to each other if you run into problems!
20151001 HW3 is corrected and the results and comments are available in studentportalen
20150925 HW2 is corrected and the results and comments are available in studentportalen
20150914 Updated the homework information
20150909 Fixed a broken link in the pdf for the computer labs
20150901 First lecture today! Don't forget to register in studentportalen before the deadline (7 Sept)
|Course Level||Study Period|
|Program||Course Code||Points||Application Code|
To provide the student with the knowledge necessary to think in the "frequency domain" and to introduce the state-of-the-art methods and algorithms for computer-aided spectral analysis of signals with applications in communications, signal analysis, radar systems, emitter location, signal recognition, and others. More information is available on this page.
Linear algebra, Fourier analysis, Discrete-time signals and systems.
- Basic definitions and the spectral estimation problem.
- Periodogram and correlogram methods.
- Improved periodogram-based methods.
- Parametric methods for rational spectra.
- Parametric methods for line spectra.
- Filter-bank methods.
In lecture 7 the instructors will present several applications of spectral processing of signals. Similarly, the students have the possibility to get 25 credit points if they present short talks of approximately 20 minutes about some application of spectral processing of signals, either at their choice or by selecting one from the list below (NB: some of these papers might require you to be on the Uppsala University computer network in order to download them):
- Use of Spectral Analysis in Defense Against DoS Attacks
- Spectral Analysis of Calcium Oscillations
- Application of model-based spectral analysis to wind-profiler radar observations
- Is Spectral Processing Important for Future WSR-88D Radar?
- High Resolution Analysis of Impact Sounds and Forces
- Winds under the Rain Forest Canopy: The Aerodynamic Environment of Gliding Tree Frogs
- A dynamical analysis of tennis: Concepts and data
- Frequency Spectrum of the Intracardiac and Body Surface ECG during Ventricular Fibrillation - a Computer Model Study
- Heart-Rate Variability and Event-Related ECG in Virtual Environments
- A Spectral Analysis of the Frequency of Supermarket Visits
- Spectral analysis in ecology
- Comparison of subspace-based methods with AR parametric methods in epileptic seizure detection
- Spectral analysis of clock noise: a primer
- Quantitative measurement of speech sound distortions with the aid of minimum variance spectral estimation method for dentistry use
|Homework||Exercise from ||Deadline||Instructions + exercise|
|Periodogram methods||C2.22||Sept. 15, 23:59||HW1.pdf|
|Rational parametric methods||C3.20||Sept. 23, 23:59||HW2.pdf|
|Rational parametric methods for line spectra||C3.18||Sep. 30, 23:59||HW3.pdf|
|Parametric methods for line spectra||C4.14||Oct. 13, 23:59||HW4.pdf|
The homeworks are to be solved individually, but you are allowed discuss the findings and results with the other students.
The solutions should be handed in electronically via the student portal as PDF (no scans!), or if you don't have access to the student portal, via email to the homework assistant (see above). The homeworks will be returned via the Spectral proc. signals OUT post box on floor 2 in house 2 (box no. 46).
For some general advice on the presentation etc of the homework assignments, please check this page.
Note that in grading the homework solutions we will put emphasis on your interpretations of the results. Also, note that the deadlines are strict! This means that a homework which is handed in late may receive no points at all.
Code for the labs: CompLabs.zip
|Lab||Exercise from ||Instruction|
|Periodogram methods||C2.19, C2.20||Lab instruction|
|Parametric methods for rational spectra||C3.17||--|--|
|Parametric methods for line spectra||C4.12||--|--|
|Filter bank methods||C5.13||--|--|
Useful MATLAB m-files corresponding to each chapter in the textbook  can be downloaded here, but these are already available in the computer labs.
The computer labs are mandatory. If for some reason you cannot attend a specific session, please contact the person responsible for the lab well in advance, or as soon as possible. Make sure that you come to the labs prepared.
For the locations and times of the computer labs, see the schedule.
IMPORTANT: For access to the PC-labs at the department, an account at UpUnet-S (the university computer network for students) is required. Information about UpUnet-S can be found here.
From the computer labs at the IT-department you can access MATLAB scripts for all the labs (so you don't have to do any programming yourself). Those lab-files can be found in two ways. If you have a G: drive mounted when you log into the system you find the files under G:\Program\Systemteknik\Spektralanalys\. If you don't have G: mounted, you can mount the folder needed yourself using "Map Network Drive" and inputting "\\Atena\Program\Systemteknik\Spektralanalys".
The students are required to pass all four labs. The exam consists of solving the four homework assignments. Each homework assignment gives a maximum of 25 points. The points required for the different grades are as follows.
For Master of Science students:
For PhD students:
During the last lecture, the students may choose to present some applications of spectral analysis. Each presentation will last at most 20 minutes (including discussion) and its topic can be selected by the student or suggested by us. For each presentation a maximum of 25 points can be awarded.