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Syllabus

Course Number 0512-4200-51
Course Name Introduction to Digital Signal Processing
Academic Unit The Iby and Aladar Fleischman Faculty of Engineering -
Electrical Engineering
Mode of Instruction Exercise
Credit Hours 1
Semester 2021/1
Day Tue
Hours 16:00-18:00
Building Engineering Classrooms
Room 001
Course is taught in English
Syllabus Not Found

Short Course Description

Week 1-2: The Z transform, review and extensions. Pole Zero and region convergence(ROC) analysis, relation to stability and causality. Inverse Z transform. Transform analysis of linear time invariant (LTI) systems. Minimum phase systems.
Week 3-4: Discrete time processing of continuous time signals, review and extensions. Sampling rate conversions. Polyphase decompositions.
Week 5-6: Design of digital filters. Design of infinite impulse response (IIR) filters from analog filters. Design of finite impulse response (FIR) filters, windows and frequency sampling. Linear phase filters. Optimal (minimax) design of FIR filters.
Week 7-8: Discrete Fourier series (DFS). Discrete Fourier transform (DFT). Circular convolution and linear convolution using the DFT.
Week 9-10: The fast Fourier transform (FFT) for fast calculation of the DFT. Decimation in time and decimation in frequency (FFT). The Goertzel algorithm. The chirp transform algorithm.
Week 11-12: The discrete cosine transform (DCT).
Week 13-14: Spectral analysis using short time Fourier transform.



Full Syllabus
Course Requirements

Students may be required to submit additional assignments
Full requirements as stated in full syllabus

PrerequisiteSignals and Systems (05122835)

The specific prerequisites of the course,
according to the study program, appears on the program page of the handbook



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