Key Words

 Digital signal processing, Fast fourier transform, Digital filtering, 

Objectives

This course intends to teach fast Fourier transform, z- transform, and basic applications and developed areas. It is learned how to design  FIR, IIR, and Adaptive filter step by step. End of the lecture, students can be easily apply digital filter to make speech-to-Text problems.

Contents

1.      Introduction, 2.      Discrete transform, 3.      The z-transform and its applications in signal processing, 4.      Correlation and Convolution, 5.      A framework for digital filter design, 6.      Finite İmpulse Response (FIR) filter design, 7.      Design of infinite impulse response (IIR) digital filters, 8.      Adaptive digital filters  

Course Material

 Emmanuel C. Ifeachor, Barrie W. Jervis “Digital Signal Processing,

References

1)      S. M. Bozic,“ Digital and Kalman Filtering“, Edward Arnold, 1994,

2)      N. Dahnoun, “Digital Signal Processing Implementation”, Prentice Hall, 2000.

  Teaching Methods

 Lectures and practical exercises. 

Evaluation Methods

 One examination in the course period, One practical projects, and one examination at the end of the course 

Examination Methods

 Written  

Prerequisites

None