SGN-11007 Introduction to Signal Processing, 5 cr
Vastuuhenkilö
Sari Peltonen, Heikki Huttunen
Osaamistavoitteet
Student learns the fundamental concepts of signal processing, can discuss them and solve problems related to them. The student learns the basic command of Matlab, and has learned the computational methods required in the subsequent courses. The student can solve the properties of a linear filter through its transfer function, and can design an FIR filter. The student can also implement the Fourier transform of a sequence both directly and using the FFT algorithm. The student can design simple pattern recognition systems that use the signal processing tools for feature extraction.
Sisältö
| Sisältö | Ydinsisältö | Täydentävä tietämys | Erityistietämys |
| 1. | Basics of digital signal processing: sampling theorem, discrete signals and systems; the convolution operator. | ||
| 2. | Analysis of discrete signals and systems: Fourier transform and the FFT algorithm; z-transform and the transfer function. | ||
| 3. | Design of linear systems using the window method | Remez algorithm | |
| 4. | Signal analysis | ||
| 5. | Fundamentals of machine learning. Applications of signal processing algorithms in pattern recognition. | ||
| 6. | Applications. Visiting lectures from university and the industry. |
Ohjeita opiskelijalle osaamisen tasojen saavuttamiseksi
Measures of learning: Exam and mandatory weekly exercises with bonus points. The grade is determined by the exam and activity on weekly exercises. The weeksly exercises contain exercises on usage of tools (Matlab) and measures how well the student can use them. The exam measures how well the student has learned the core content.
Arvosteluasteikko:
Numerical evaluation scale (0-5)
Vastaavuudet
| Opintojakso | Vastaa opintojaksoa | Selite |
| SGN-11007 Introduction to Signal Processing, 5 cr | SGN-11006 Basic Course in Signal Processing, 5 cr | |
| SGN-11007 Introduction to Signal Processing, 5 cr | SGN-11000 Basic Course in Signal Processing, 5 cr |