EE 533 Digital Signal Processing
Sampling and quantization of continuous-time signals. Multirate processing of digital signals.
Transform analysis of linear time-invariant systems: frequency response of rational system functions,
stability and casuality. Digital filter design techniques: FIR and IIR filters. Effects of finite register length.
Properties of windowing and short-time Fourier Transform analysis. Introduction to time-frequency representations.
Computation of DFT, FFT techniques. DSP application project.
Textbook: Oppenheim & Schafer, Discrete-Time Signal Processing, 3rd edition, Prentice Hall, 2010.
Instructor : Dr. Mustafa A. Altinkaya, Associate
- P. Stoica & R. Moses, Spectral Analysis of Signals, Prentice Hall, 2005.
- J.G. Proakis & D. Manolakis, Digital Signal Processing, 4th edition, Prentice Hall, 2006.
- S. Mitra, Digital Signal Processing, McGraw Hill, 2001.
Class Hours : To be determined
Prerequisites: EE 331 Signals and Systems, Probability
Homeworks : There are 4-6 homeworks (which will not be collected).
- Review of Background: Discrete-time signals and systems.The z-transform.Sampling of continuous-time signals.
- The frequency response of Linear Time Invariant systems
- Magnitude-phase relationship and analysis of phase characteristics of LTI systems
- Basic Filter design techniques; FIR and IIR filter characteristics and their design.
- The discrete Fourier transform and its computation.
- Fourier analysis of signals using the discrete Fourier transform.
- Time-frequency representation of signals, Short-time Fourier Transform and the effects of windowing.
- Structures for discrete-time systems.
- Multirate signal processing
- Discrete Hilbert transforms.
- Stochastic Processes and Models
- Spectral analysis: Nonparametric and Parametric Models
- Parametric Models for Line Spectra
Grading : 1 or 2 Midterm Exams (28% each), 0 or 1 Term Paper (28%) and
Final (44%) (Tentative)
Mustafa A. ALTINKAYA