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 : 

  1. S. Mitra, Digital Signal Processing, McGraw Hill, 2001.
  2. J.G. Proakis & D. Manolakis, Digital Signal Processing, 4th edition, Prentice Hall, 2006. 
Instructor : Dr. Mustafa A. Altinkaya, Associate Professor
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


  1. Discrete-time signals and systems. 
  2. The z-transform. 
  3. Sampling of continuous-time signals.
  4. Multirate signal processing
  5. The frequency response of Linear Time Invariant systems 
  6. Magnitude-phase relationship and analysis of phase characteristics of LTI systems 
  7. Structures for discrete-time systems. 
  8. Basic Filter design techniques. 
  9. FIR and IIR filter characteristics and their design 
  10. The discrete Fourier transform. 
  11. Computation of the discrete Fourier Transform 
  12. Fourier analysis of signals using the discrete Fourier transform.
  13. Time-frequency representation of signals, Short-time Fourier Transform and the effects of windowing. 
  14. Discrete Hilbert transforms. Stochastic Processes and Models
Homeworks : There are 4-6 homeworks (which will not be collected).

Grading : 2 Midterm Exams (60%) 1 Final (40%)

Mustafa A. ALTINKAYA 2017