Digital Signal Processing (UESTC) UESTCHN4005

  • Academic Session: 2024-25
  • School: School of Engineering
  • Credits: 16
  • Level: Level 4 (SCQF level 10)
  • Typically Offered: Semester 1
  • Available to Visiting Students: No
  • Collaborative Online International Learning: No

Short Description

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.

Timetable

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

Requirements of Entry

Mandatory Entry Requirements

None

Recommended Entry Requirements

None

Excluded Courses

None

Co-requisites

None

Assessment

Assessment

25% Course projects

75% open book final exam (3 hours)

Main Assessment In: April/May

Are reassessment opportunities available for all summative assessments? No

Reassessments are normally available for all courses, except those which contribute to the Honours classification.

 

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

Course Aims

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.

Intended Learning Outcomes of Course

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

■ Apply time domain and transform domain analysis methods for discrete-time signals to generate and detect various discrete-time signals;

■ Apply time domain and transform domain analysis methods to analyze discrete time systems;

■ Design FIR digital filter by using Windowed Fourier Series method;

■ Design IIR digital filter by using Bilinear Transformation Method;

■ Evaluate digital systems in digital platforms，including realization structures，finite word length.

Minimum Requirement for Award of Credits

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.