EEE3004 : Digital Signal Processing (Inactive)
- Inactive for Year: 2024/25
- Available to incoming Study Abroad and Exchange students
- Module Leader(s): Professor Jeffrey Neasham
- Owning School: Engineering
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
Semester 1 Credit Value: | 10 |
ECTS Credits: | 5.0 |
European Credit Transfer System | |
Aims
To develop in-depth knowledge of discrete-time signal processing algorithms, and approaches to measure deterministic and random signals in the frequency domain.
To measure the computational cost of different algorithms used in frequency transformation.
To gain proficiency in methods to distinguish the desired signals from noise using appropriate digital filters. Using research oriented learning to deal with real-world problem related to DSP.
Outline Of Syllabus
Deterministic Signals
Describing the Deterministic Signals, Transformation of Deterministic-time signal into frequency domain using DFT (Discrete Fourier Transform) and FFT (Fast Fourier Transform), Comparison of DFT and FFT Computational Loads, Derivation of the DFT and Matrix Interpretation of the DFT, Determining the Spectral Leakage in FFT, and Mitigation Approaches.
Random Signals
Describing Random Sequences, Statistical Properties Related to Random Sequences, Wienar- Khintchine Theorem.
Digital Filters
Importance of Digital Filter in DSP, Realisation of Digital Filters, Design of FIR Filters, FIR Filter Design by Impulse Response Truncation, Optimality of IRT Method, Gibb's Phenomenon, FIR Filter Design Using Windows.
Design of IIR Filters Bilinear z- transform, Frequency Transformations, Finite Word Length Effects in IIR Filters.
Adaptive Filters
Describing Filtering Algorithm to Filter Random Sequences, Concept of Wiener Filter Theory and its Application, Concept of Steepest Descent Algorithm, LMS Algorithm.
Case Studies
Focusing on real-world problems related to DSP, Multirate Digital Signal Processing, Multistage Approach, Polyphase Filters.
Teaching Methods
Teaching Activities
Category | Activity | Number | Length | Student Hours | Comment |
---|---|---|---|---|---|
Structured Guided Learning | Lecture materials | 27 | 0:20 | 9:00 | Non-synch: 20 mins pre-recorded videos consisting of theory on a DSP topic & MATLAB demonstration |
Guided Independent Study | Assessment preparation and completion | 1 | 15:00 | 15:00 | Coursework consisting of a DSP system design & verification in MATLAB. |
Scheduled Learning And Teaching Activities | Practical | 11 | 2:00 | 22:00 | Present in person seminar & practical lab session |
Guided Independent Study | Independent study | 27 | 0:20 | 9:00 | Student study time of Non-Synch pre-recorded material. |
Guided Independent Study | Independent study | 1 | 45:00 | 45:00 | Reviewing lecture notes; general reading |
Total | 100:00 |
Teaching Rationale And Relationship
Non-synchronous sessions provide the fundamental concepts of the course while the lab sessions and MATLAB based exercises provide an opportunity to develop skills in application and testing of DSP algorithms
Assessment Methods
The format of resits will be determined by the Board of Examiners
Other Assessment
Description | Semester | When Set | Percentage | Comment |
---|---|---|---|---|
Written exercise | 1 | M | 100 | DSP Assignment in Week 9 |
Formative Assessments
Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.
Description | Semester | When Set | Comment |
---|---|---|---|
Lab exercise | 1 | M | MATLAB Exercises |
Assessment Rationale And Relationship
The summative assignment will help students to demonstrate core understanding of course material, analysis/design skills applied to realistic DSP problems and their ability to simulate and verify algorithm performance in MATLAB. The formative MATLAB exercises will provide weekly feedback on their understanding of the DSP topics and their readiness to take on the assignment.
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- EEE3004's Timetable