Course Details
Course Information Package
Course Unit Title | DIGITAL SIGNAL PROCESSING | ||||||||
Course Unit Code | AEEE424 | ||||||||
Course Unit Details | |||||||||
Number of ECTS credits allocated | 5 | ||||||||
Learning Outcomes of the course unit | By the end of the course, the students should be able to:
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Mode of Delivery | Face-to-face | ||||||||
Prerequisites | NONE | Co-requisites | NONE | ||||||
Recommended optional program components | NONE | ||||||||
Course Contents | Discrete time signals and systems in the time domain Introduction to signals, systems and signal processing applications. Classification of signals. Continuous time vs. discrete time signals. Continuous valued vs. discrete valued signals. Frequency in continuous time vs. discrete time. Analog-to-digital conversion. Sampling process and sampling theorem. Discrete-time systems. Input-output description of systems. Block diagram representation of systems. Properties of linearity, time invariance, causality and stability. Discrete-time Linear Time-Invariant systems. Impulse response. Convolution.
Evaluation and use the z-transform Definitions and evaluation of the z-transform. Properties. Z-plane.
Rational z-transforms. Zeros and poles, zero-pole diagrams and the unit circle. Stability and causality. Inverse z-transform. Partial fraction expansion. Discrete-time system analysis using the z-transform. Calculation of the system impulse response from the transfer function.
Frequency domain analysis of discrete-time signals and systems Frequency analysis of discrete-time signals using the Fourier transform. Properties of the Fourier transform. Relationship of the Fourier transform to the z-transform. Frequency domain analysis of Linear Time Invariant (LTI) Systems. Input-Output Relations in the frequency domain. Frequency response of LTI systems. Magnitude and phase of the frequency response. Linear phase systems. Group delay. Definition and calculation of the Discrete Fourier Transform (DFT). Examination of the Fast Fourier Transform (FFT) and classification of FFT algorithms.
Digital Filters Introduction to digital filters. Frequency response and impulse response of ideal digital filers.
Frequency selective filters. Low-pass, Band-pass, and high-pass digital filters. Implementation of FIR vs IIR filters.
Design methods of digital filters. Linear phase FIR filters. Use of the MATLAB DSP toolbox. | ||||||||
Recommended and/or required reading: | |||||||||
Textbooks |
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References |
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Planned learning activities and teaching methods | The teaching of the course is lecture-based (3 hours per week) in a classroom, using a combination of traditional teaching with written notes on a white board and slide presentations using a projector for the presentation of the more complicated diagrams, graphs and MATLAB design tools. Students are assessed continuously and their knowledge is checked through tests, assignments and the final exam.
Lectures include the solution and discussion of example problems regarding the material presented. Relevant homework and assignments are given to the students for further study at their own. Due to the level and type of the course students are urged to participate in discussing the various topics and provide their opinion during problem-solving sessions. Lecture notes are compiled by students which serve to cover the main issues under consideration and serve as a guide for further reading. Students are also required to seriously use the textbook assigned to the course, in addition to other sources found either in the library or elsewhere in order to broaden their perspective on the various subjects presented in class and in the textbook. Additionally, they are expected to use the MATLAB DSP toolbox for the analysis of signals and systems and the design and analysis of digital filters. | ||||||||
Assessment methods and criteria |
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Language of instruction | English | ||||||||
Work placement(s) | NO |