Module Specification |
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module. |
Title | Advanced Signal Processing | ||
Code | ELEC474 | ||
Coordinator |
Dr AF Garcia-Fernandez Electrical Engineering and Electronics Angel.Garcia-Fernandez@liverpool.ac.uk |
||
Year | CATS Level | Semester | CATS Value |
Session 2021-22 | Level 7 FHEQ | Whole Session | 15 |
Aims |
|
To develop higher level signal processing techniques and apply them to some problems. To develop different types filters and demonstrate their applications. |
Pre-requisites before taking this module (other modules and/or general educational/academic requirements): |
ELEC309 SIGNAL PROCESSING & DIGITAL FILTERING |
Co-requisite modules: |
Learning Outcomes |
|
(LO1) On successful completion of this module the student should be able to explain concepts of time and frequency domain descriptions of signals. |
|
(LO2) On successful completion of this module the student should be able to describe,use and design 'fixed' filter for different types of noise reduction tasks. |
|
(LO3) On successful completion of this module the student should be able to explainand use auto-correlation and cross-correlation. |
|
(LO4) On successful completion of this module the student should be able to describe,use and design linear predictor and matched filter, and explain theirapplications. |
|
(LO5) On successful completion of this module the student should be able to describe,use and design FIR Wiener filters for different tasks, and explain theirapplications. |
|
(LO6) On successful completion of this module the student should be able to describe,use and design FIR adaptive filters, and explain their applications. |
|
(LO7) On successful completion of this module the student should be able to describe,use and design Kalman filters. |
|
(S1) Critical thinking and problem solving - Critical analysis |
|
(S2) Numeracy/computational skills - Problem solving |
|
(S3) Improving own learning/performance - Self-awareness/self-analysis |
|
(S4) Research skills - Awareness of /commitment to academic integrity |
Syllabus |
|
Semester one Semester 2: |
Teaching and Learning Strategies |
|
Due to Covid-19, one or more of the following delivery methods will be implemented based on the current local conditions and the situation of registered students. It is anticipated that both a) & b) will be in operation for semester 1. (a) Hybrid delivery, with social distancing on Campus Teaching Method 1 - On-line asynchronous lectures Teaching Method 2 - Synchronous face to face tutorials (b) Fully online delivery and assessment Teaching Method 1 - On-line asynchronous lectures Teaching Method 2 - On-line synchronous tutorials (c) Standard on-campus delivery with minimal social distancing Teaching Method 1 - Lecture Teaching Method 2 - Tutorial |
Teaching Schedule |
Lectures | Seminars | Tutorials | Lab Practicals | Fieldwork Placement | Other | TOTAL | |
Study Hours |
24 |
20 |
4 |
48 | |||
Timetable (if known) | |||||||
Private Study | 102 | ||||||
TOTAL HOURS | 150 |
Assessment |
||||||
EXAM | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
(474) Assessment 2 This is an anonymous assessment. Assessment Schedule (When) :Semester 2 examination period | 0 | 75 | ||||
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
(474.1) Assessment 1 This is an anonymous assessment. Assessment Schedule (When) :Semester 1 | 0 | 25 |
Reading List |
|
Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module. |