Description

Electronic data converters, the Discrete Fourier Transform (DFT) and its fast algorithms (FFT), the Z-transform, discrete time transfer , realization topologies, IIR filter design through invariant impulse response and bilinear transform, FIR filter design using windowing, Kaiser, Blackman, hamming, ect.

Program

Bachelor in Electronics and Communications Engineering

Objectives

Introducing the different techniques for designing and implementing digital signal processing systems and their peripherals, Discrete â€“ time transforms.

Textbook

Data will be available soon!

Course Content

content serial	Description
1	Why digital signal processing? Analog vs.Digital signal processing, Examples of practical DSP applications, Recent trends
2	A real-time DSP system, Sampling of Band limited analog signals, Specifications of data converters, Digital-to-Analog converters
3	Quantizer characteristics, Quantization techniques, Analog comparators, Circuit implementation of quantization techniques.
4	The cascaded architecture, Single and dual slope converters
5	Discrete-Time transforms, The discrete-time Fourier transform, The FFT algorithm ,The Butterfly properties
6	The DIT FFT and the DIF FFT algorithm and their inverse (IFFT).
7	Digital filters, Basic definitions, analog vs. digital filters, Design procedures.
8	The discrete-time transfer function, Types of digital filters, Digital filters describing equations, recursive versus non-recursive filters
9	The Z-transform. Digital filter components, Examples of digital filter circuits.
10	Time domain analysis, Frequency domain analysis, Stability, a stability criterion.
11	Design of digital filters, Design procedures, Realization topologies, Hardware implementation
12	Design of IIR filters using the Bilinear z-transform, frequency warping, Design from the Pole-Zero distribution, Design from the tolerance structure, Examples
13	Properties of FIR filters, Realization topologies, The concept of windowing The rectangular window.
14	Design of FIR filters using windows, The Bartlett, Von Hann, and Hamming windows, Blackman and Kaiser, Examples
15	Data compression ,an intro, DAS`s, DSP applications
16	Final Examination

Markets and Career

Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
Electrical power feeding for civil and military marine and aviation utilities.
Electrical works in construction engineering.

Degree Bachelor
Code: EC533
Credit hrs: 3
Prequisites: EC434

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Digital Signal Processing