2021/22 Undergraduate Module Catalogue
ELEC2856 Audio Signal Processing
20 creditsClass Size: 20
Module manager: Dr. James McLaughlan
Email: j.r.mclaughlan@leeds.ac.uk
Taught: Semesters 1 & 2 (Sep to Jun) View Timetable
Year running 2021/22
This module is not approved as a discovery module
Module summary
The teaching and assessment methods shown below will be kept under review during 2021-22. In particular, if conditions allow for alternative formats of delivery, we may amend the timetable and schedule appropriate classes in addition to (or in place of) any online activities/sessions. Where learning activities are scheduled to take place on campus, it may be possible and/or necessary for some students to join these sessions remotely. Some of the listed contact hours may also be optional surgeries. Students will be provided with full information about the arrangements for all of these activities by the module staff at the beginning of the teaching semester.‘Independent online learning’ may involve watching pre-recorded lecture material or screen-casts, engaging in learning activities such as online worked examples or mini-projects, etc. Students will be expected to fully engage with all of these activities. The time commitment for independent online learning, and also the frequency and duration of online sessions are approximate and intended as a guide only. Further details will be confirmed when the module commences.Where assessments are shown as Online Time-Limited Assessments, the durations shown are indicative only. The actual time permitted for individual assessments will be confirmed prior to the assessments taking place.Objectives
This module introduces the principles of signals and signal analysis in the context of audio systems, and develops knowledge and understanding of signal conditioning, detection and quantisation. Students will also be introduced to digital signal processing techniques relevant to audio applications.Learning outcomes
On completion of this module students should be able to:
1. Discuss the fundamental properties of signals and interpret time domain and frequency domain representation of signals.
2. Perform simple calculations on a range of signal properties.
3. Explain the principles and applications of analogue to digital conversion (ADC) and calculate the requirements for typical ADC systems.
4. Select and design a range of analogue circuits suitable for audio signal conditioning, including amplifiers, buffers and filters.
5. Explain the fundamental components of digital signal processing.
6. Apply DSP functions on a microcontroller to implement a range of signal processing tasks for audio applications.
Skills outcomes
Develops critical judgement of audio quality. Further experience of writing C/C++ programs.
Syllabus
Topics may include, but are not limited to:
Properties of signals, waveform, amplitude, frequency, phase, power, harmonics.
Modulation and superposition.
Analogue to Digital Conversion, including sampling, effects of aliasing, bit depth/quantisation, over/undersampling and interpolation.
Signal Conditioning, including circuit design and signal processing components, op-amps and filters, including active filters
Fundamentals of Digital Signal Processing (DSP), time domain/frequency domain representation, Fourier analysis for practical applications, digital filters, real-time DSP.
Teaching methods
| Delivery type | Number | Length hours | Student hours |
| On-line Learning | 6 | 1.00 | 6.00 |
| Laboratory | 10 | 2.00 | 20.00 |
| Independent online learning hours | 44.00 | ||
| Private study hours | 130.00 | ||
| Total Contact hours | 26.00 | ||
| Total hours (100hr per 10 credits) | 200.00 | ||
Private study
Students are expected to use private study time to consolidate their understanding of course materials, to undertake preparatory work for seminars, workshops, tutorials, examples classes and practical classes, and also to prepare for in-course and summative assessments.Opportunities for Formative Feedback
Students studying ELEC modules will receive formative feedback in a variety of ways, including the use of self-test quizzes on Minerva, practice questions/worked examples and (where appropriate) through verbal interaction with teaching staff and/or post-graduate demonstrators.Methods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| Assignment | Assignment 1 | 30.00 |
| Project | Project 1 | 40.00 |
| Total percentage (Assessment Coursework) | 70.00 | |
Resits for ELEC and XJEL modules are subject to the School's Resit Policy and the Code of Practice on Assessment (CoPA), which are available on Minerva. Students should be aware that, for some modules, a resit may only be conducted on an internal basis (with tuition) in the next academic session.
Exams
| Exam type | Exam duration | % of formal assessment |
| Online Time-Limited assessment | 2 hr 00 mins | 30.00 |
| Total percentage (Assessment Exams) | 30.00 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading list
There is no reading list for this moduleLast updated: 29/06/2021 16:47:29
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