MODULE DESCRIPTOR

TITLE DIGITAL SIGNAL PROCESSING

SI MODULE CODE 16-7205

CREDITS 15

LEVEL 7

JACS CODE H651

SUBJECT GROUP Electronic, Communication & Computer Engineering

DEPARTMENT Engineering and Mathematics

MODULE LEADER Dr Reza Saatchi

MODULE STUDY HOURS (based on 10 hours per credit)*

Scheduled Learning and Teaching Activities

Placement (if applicable)

Independent Guided Study

Total Number of Study Hours

36 N/A 114 150

*to be used for Key Information Sets - see Module Descriptor guidance notes

MODULE AIM The aim of the module is to further develop the theoretical and practical expertise of students in representing signals and systems in appropriate ways, designing and analysing systems, performing spectral analysis and to be aware of the features of adaptive system. MODULE LEARNING OUTCOMES (up to 4 LOs max) By engaging successfully with this module a student will be able to

i. Analyse and design discrete systems, mathematically express them using a number of suitable approaches, critically analyse their frequency response and transfer function properties and use z-transform techniques to investigate stability.

ii. Make critical judgement about the operational parameters and potential applications of adaptive

discrete systems for solving engineering problems.

iii. Perform spectral analysis and make critical judgement related to issues pertaining to spectral analysis of discrete signals.

iv. Design and apply digital filter by critically considering the characteristics of the desired signal and the

noise. INDICATIVE CONTENT

Review of digital signal processing: discrete signals and systems, sampling process, discrete system

properties and their mathematical representation methods including difference equation, fundamental

of discrete signal processing and operations.

Frequency response analysis: definition of frequency response, relationship between difference

equation and frequency response, system output for a sinusoidal as well as complex exponential

input. The relationship between unit sample response and frequency response.

Z-transform: Definition, z-transform of discrete signals, z-transform properties, transfer function and

its use to determine system output, pole-zero diagram and system stability analysis, inverse z-

transform, the relationships between transfer function, difference equation, unit sample response and

frequency response.

Spectral analysis: Discrete Fourier transform, power spectrum estimation methods, issues affecting

estimating the power spectrum of discrete signals.

Adaptive systems: their operation, applications and characteristic features. The application of

adaptive system to real engineering problems.

Digital filter design: Digital filter types and their properties, methods to design low-pass, high-pass,

band-pass and band reject filters according to specifications.

LEARNING, TEACHING AND ASSESSMENT - STRATEGY AND METHODS Students will be supported in their learning, to achieve the above outcomes, in the following ways

The module will be taught using a combination of lectures, practical laboratories and problem solving tutorials. The students will be encouraged to ask questions during all sessions. Oral feedback will be provided in laboratory sessions and tutorials.

The assessment will be based on 50% examination and 50% coursework (two tasks, no sub-task). The examination will assess specific elements of all learning outcomes while the coursework will assess the elements of the learning outcomes mainly related to design, implementation, problem solving and critical analysis. The coursework also provides an opportunity to carry out practical scientific investigations and to write professional technical reports. The course work will be marked and returned to students with appropriate written feedback. Whereas the coursework allows time for students to reflect upon their learning and undertake self study to further their learning, the examination provides the opportunity for students to carry out independent work on the principles and concepts of the subject under controlled and time-constrained conditions. Guided and autonomous learning will be employed where appropriate. It is intended to use a virtual learning environment facility to further enhance the teaching of the materials and to communicate with students.

ASSESSMENT TASK INFORMATION

Task No.*

Short Description of Task

SI Code EX/CW/PR

Task Weighting %

Word Count or Exam Duration**

In-module retrieval available

1 Coursework CW 50% 2000 words N

2 Exam EX 50% 2 Hours N

“NB to achieve a pass in this module students must achieve a minimum of 40% in every assessment task.” *Assessment task limit of a max of two tasks per 20 credits, and a max of three tasks for a module larger than 20 credits ** Timetabled examinations - duration must be whole numbers of one, two or three hours and ten minutes of reading time will be added on to this as standard. FEEDBACK Students will receive feedback on their performance in the following ways

The students will undertake formative tasks during each tutorial session, and receive direct feedback from the tutor. The feedback from the summative assignment will consist of comments on the assignment and assignment cover sheet. Feedback is also provided during lectures on issues that affect all students in similar manner..

LEARNING RESOURCES FOR THIS MODULE (INCLUDING READING LISTS)

These are examples of the key learning resources a student will use:

Recommended book:

DINIZ, P.S.R., DA SILVA, E.A.B, NETTO, S.L. (2010), "Digital Signal Processing, System Analysis

and Design", Cambridge Press..

Materials made accessible:

Handouts

Online Learning Environment (e.g. Blackboard)

Computer-aided design software

Lab equipment

SHU Learning Centre literature resources, databases

REVISIONS

Date Reason

Aug 2013 Confirmed in PG MSc CNE MSc TEE Re/approval

August 2013 Model B Approved in 12/13 Assessment Review

July 2014 Confirmed in PG Engineering Re/approval

August 2014 Assessment Model approved by UEP

SECTION 2 MODULE INFORMATION FOR STAFF ONLY MODULE DELIVERY AND ASSESSMENT MANAGEMENT INFORMATION MODULE STATUS - INDICATE IF ANY CHANGES BEING MADE

NEW MODULE N

EXISTING MODULE - NO CHANGE Y

Title Change N

Level Change N

Credit Change N

Assessment Pattern Change N

Change to Delivery Pattern N

Date the changes (or new module) will be implemented September / 2013

MODULE DELIVERY PATTERN - Give details of the start and end dates for each module. If the course has more than one intake, for example, September and January, please give details of the module start and end dates for each intake.

Module Begins Module Ends

Course Intake 1 27/01/2014 02/06/2014

Is timetabled contact time required for this module? Y

Are any staff teaching on this module non-SHU employees? N

If yes, please give details of the employer institution(s) below

What proportion of the module is taught by these non-SHU staff, expressed as a percentage?

MODULE ASSESSMENT INFORMATION

Indicate how the module will be marked

*Overall PERCENTAGE Mark of 40% N

*Overall PASS / FAIL Grade N

*Choose one only – module cannot include both percentage mark and pass/fail graded tasks SUB-TASKS

Will any sub-tasks (activities) be used as part of the assessment strategy for this module?

N

If sub-tasks / activities are to be used this must be approved within the Faculty prior to approval. Sub-task / activity marks will be recorded locally and extenuating circumstances, extensions, referrals and deferrals will not apply to sub-tasks / activities. FINAL TASK

According to the Assessment Information shown in the Module Descriptor, which task will be the LAST TASK to be taken or handed-in? (Give task number as shown in the Assessment Information Grid in Section 1 of the Descriptor)

Task No. 2

NON-STANDARD ASSESSMENT PATTERNS

MARK 'X' IN BOX IF MODULE ASSESSMENT PATTERN IS NON STANDARD, eg MODEL B, ALL TASKS MUST BE PASSED AT 40%. NB: Non-standard assessment patterns are subject to faculty agreement and approval by Registry Services - see guidance. notes.

X