| CODE | CCE1203 | |||||||||
| TITLE | Introduction to Signal Processing | |||||||||
| UM LEVEL | 01 - Year 1 in Modular Undergraduate Course | |||||||||
| MQF LEVEL | 5 | |||||||||
| ECTS CREDITS | 6 | |||||||||
| DEPARTMENT | Communications and Computer Engineering | |||||||||
| DESCRIPTION | This unit covers Signals and Systems Theory and elementary digital signal processing techniques. The main trust is to learn how the real physical world is interfaced to a digital computer and in particular understand the relationship between the time, the frequency and the space domain and how these domains are used to describe, study and solve real world problems. This unit is delivered via a balanced mix of qualitative discussions supported by mathematical representation and analysis. Lab work covers the representation and processing of waveforms on a digital computer, considering applications in audio and image processing. Introduction Signals and Waveforms in everyday life Transducers and electrical representation of physical quantities Microphone, Camera and accelerometer The Analysis, Information Extraction and Synthesis problems System design and system characteristics Examples in audio, video, motion and telecom applications Signals, waveforms and traces Time domain Continuous time signals, Sinusoids, mathematical representation Sampling and Quantization and discrete time signals Signal to noise ratio Time-averaged quantities, energy, power Scaling, addition, multiplication operators Complex signals and Waveform Synthesis Examples in audio and communications Frequency Domain Sinusoids, Phasor representation & complex amplitude Spectrum Representation and signal decomposition Complex signals and Waveform Synthesis Infinitely periodic and finite signals Time - frequency conversion, Fourier Series, Fourier Transform Ideal filters and moving average filter Examples in audio and communications Space Domain One and two - dimensional space Optical image representation as a signal Relation to time and frequency domain representation Examples in images and motion tracking Systems Mathematical models and representation of systems Impulse response in time domain, convolution integral and sum System stability, response time and computational load Examples in audio and motion tracking Textbooks: • McClellan J. H., Schafer R. W., Yoder M. A., Signal Processing First, Prentice Hall, ISBN0-13-120265-0 |
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| STUDY-UNIT TYPE | Lecture and Tutorial | |||||||||
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| LECTURER/S | Jason Debono |
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The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2023/4. It may be subject to change in subsequent years. |
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