Course Catalogue

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This course introduces the fundamental concepts and techniques of digital signal processing (DSP) and demonstrates practical engineering applications. It also provides practical experience in the analysis and design of DSP systems and algorithms using MATLAB.

Course will be delivered continuously in the traditional manner at UESTC.

Mandatory Entry Requirements

None

Recommended Entry Requirements

None

None

None

Assessment

10% Homework

15% Course project

30% open book mid-term exam (2 hours)

45% open book final exam (2 hours)

Reassessment

In accordance with the University's Code of Assessment reassessments are normally set for all courses which do not contribute to the honours classifications. For non honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students, and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. Any such exceptions are listed below in this box.

Due to the nature of the coursework and sequencing of courses, it is not possible to reassess the coursework laboratory.

This course aims to introduce the fundamental concepts of digital signal processing and the basic analytical methods, and demonstrate how they are applied to design filters for given applications.

By the end of this course students will be able to:

■ produce the signal analysis in the time domain and transform domain; the implementation of methods used for representing discrete signals and systems;

■ explain the relationship between DTFT, DFT and ZT, and interpret the concept of the frequency response of discrete-time system;

■ demonstrates ADC quantization concept

■ relate the digital representation of the signal to the frequency domain concept of continuous signal;

■ generalize the idea of FFT algorithm, apply the Fourier transform and convolution to filter signals, and illustrate  the physical concept of digital filter parameters;

■ apply the common structure of the digital filter, the bilinear transformation (IIR) and window function (FIR) design methods of digital filter (main low-pass) to the signal.

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment. In addition students must submit work for assessment for the course laboratory or a grade of credit withheld will be given.

Students must attend the timetabled laboratory classes.

Note that these are minimum requirements: good students will achieve far higher participation/submission rates. Any student who misses an assessment or a significant number of classes because of illness or other good cause should report this by completing a MyCampus absence report.