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DIGITAL SIGNAL PROCESSING COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
EEM415 DIGITAL SIGNAL PROCESSING 7 3 3 6

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 - Time domain analysis of discrete-time signal and discrete-time linear time invariant (LTI) systems. -
2 - Frequency domain analysis of discrete-time signal and discrete-time LTI systems. Discrete-time Fourier transform (DTFT). Sampling -
3 - z-transform and inverse z-transform. -
4 - Transfer zone analysis using discrete-time signal and discrete-time LTI systems using ztransform -
5 - Transfer function and stability for discrete-time LTI systems. Discrete Fourier -
6 - AFD and its properties. Circular convolution, Fast Fourier Transform (FFT) -
7 - FIR filter design and implementation. Structures for implementation -
8 - MID-TERM EXAM -
9 - IIR filter design and implementation. Overlap-add and overlap-save methods. -
10 - Basics of statistical signal processing. Random processes and power spectral density. -
11 - Basics of adaptive filters. Steepest descent and LMS algorithms -
12 - Basics of time-frequency analysis -
13 - Short-time Fourier transform (STFT). Spectrogram -
14 - Introduction to time-scale transformations and wavelet transforms. -
15 - Introduction to time-scale transformations and wavelet transforms. -
16 - FINAL EXAM -
17 - FINAL EXAM -