ERDAL ORUKLU Ph.D.

ECE 744

Embedded Digital Systems for Time-Frequency Distribution, Signal Modeling and Estimation

• Course Objective
  The purpose of this course is to provide a basic understanding of contemporary topics in time-frequency distribution, signal modeling, estimation, and hardware/software realization concepts in embedded computing systems.

• Topics Covered
  This short course deals time-frequency distribution, signal modeling and estimation, and hardware/software realization concepts in embedded computing systems. Key topics; introduction and the need for time-frequency analysis, Fourier series, Fourier transform, sampling theorem, time and frequency description of signal, instantaneous frequency and the complex signal, uncertainlty principle, densities and characteric functions, fundamental ideas for time-frequency distributions, short-time Fourier transform, split-spectrum processing, Gabor transform, Wigner distribution, Hilbert transform, wavelet transform, cosine transform, chirplet signal decomposition, matching pursuit, parametric time-series frequency estimation, hardware/software codesign and realizations of time-frequency distributions and signal modeling algorithms.

• Prerequisites
  Graduate Standing.

• Instructors:
  Professor Jafar Saniie
  Office: 103 Siegel Hall
  Phone: 312 567-3412
  
  Professor Erdal Oruklu
  Office: 301 Siegel Hall
  Phone: (312) 567-8814
  E-Mail:
  Office Hours: W, R 2:00PM - 3:00 PM
  

• Lecture Time:
  Location: TBA

• Recommended Textbooks:
  Time-Frequency Analysis
  Prentice Hall Signal Processing Series) by Leon Cohen
  
  Digital Signal Processing with Field Programmable Gate Arrays
  (Springer) by Uwe-Meyer Baese
  
  Digital Signal Processing - Principles, Algorithms, and Applications
  Prentice Hall) by John G. Proakis, and Dimitris G. Manolakis
  

• Teaching Assistants and Office Hours:
  
  • TBA
    Office Hour: TBA