EE 433 Introduction to Digital Signal Processing
Catalog Data:Discrete-time signals and systems. The z-transform.
Sampling of continuous-time signals. Transform analysis of linear
time-invariant systems. Structures for discrete-time systems. Filter
design techniques. The discrete Fourier transform. Fourier analysis of
signals using the discrete Fourier transform. Discrete Hilbert transforms.
Textbook: Oppenheim & Schafer, Discrete-Time Signal Processing, 3rd edition, Prentice Hall, 2010.
References :
- S. Mitra, Digital Signal Processing, McGraw Hill, 2001.
- J.G. Proakis & D. Manolakis, Digital Signal Processing, 4th edition, Prentice Hall, 2006.
Instructor : Dr. Mustafa A. Altinkaya, Professor
Class Hours : Monday 9:45 a.m. - 12:30 p.m.
Prerequisites: EE 331 Signals and Systems
Topics:
- Discrete-time signals and systems.
- The z-transform.
- Sampling of continuous-time signals.
- Multirate signal processing
- The frequency response of Linear Time Invariant systems
- Magnitude-phase relationship and analysis of phase characteristics of LTI systems
- Structures for discrete-time systems.
- Basic Filter design techniques.
- FIR and IIR filter characteristics and their design
- The discrete Fourier transform.
- Computation of the discrete Fourier Transform
- Fourier analysis of signals using the discrete Fourier transform.
- Time-frequency representation of signals, Short-time Fourier Transform and the effects of windowing.
- Discrete Hilbert transforms.
Stochastic Processes and Models
Exercises : There are 4-6 exercises of selected problems from the textbook (which will not be collected).
Computer Homework(s) : 1-2 computer homeworks.
Grading : CHW(s) (10%), 2 Midterm Exams (each 25%),
1 Final (40%).
Mustafa A. ALTINKAYA
2022