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.
Instructor : Dr. Mustafa A. Altinkaya, Associate
- S. Mitra, Digital Signal Processing, McGraw Hill, 2001.
- J.G. Proakis & D. Manolakis, Digital Signal Processing, 4th edition, Prentice Hall, 2006.
Class Hours : Tuesday 10:45 a.m. - 12:30 p.m., Thursday 15:30 p.m. - 16:15 p.m.
Prerequisites: EE 331 Signals and Systems
Homeworks : There are 4-6 homeworks (which will not be collected).
- 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
Grading : 2 Midterm Exams (60%)
1 Final (40%)
Mustafa A. ALTINKAYA