Module Title:   Digital Signal Processing

Module Credit:   10

Module Code:   ENG4007M

Academic Year:   2015/6

Teaching Period:   Semester 1

Module Occurrence:   A

Module Level:   FHEQ Level 7

Module Type:   Standard module

Provider:   Engineering

Related Department/Subject Area:   PI - Engineering: Telecomms, Electromagnetics etc (MDIS) (not in use)

Principal Co-ordinator:   Dr JM Noras

Additional Tutor(s):   Dr RA Wyatt-Millington

Prerequisite(s):   None

Corequisite(s):   None

Aims:
To provide a detailed knowledge base for the theoretical and practical techniques used in discrete-time systems with particular reference to the advanced real-time processing of digital signals in electronic systems.

Learning Teaching & Assessment Strategy:
Concepts, principles & theories explored in formal lectures, practiced in tutorials and demonstrated in laboratory classes. Practical skills developed in laboratory sessions. Cognitive and personal skills developed in open-ended problem solving and design exercises, tackled by working in small groups supported by members of academic staff. Oral feedback is given during labs and seminars. The classroom tests will assess the students` grasp of the knowledge base of the module; the coursework will assess the wider learning outcomes expressed in the descriptor

Lectures:   12.00          Directed Study:   76.00           
Seminars/Tutorials:   6.00          Other:   0.00           
Laboratory/Practical:   6.00          Formal Exams:   0.00          Total:   100.00

On successful completion of this module you will be able to...

1.1 evaluate critically the theory underpinning discrete-time systems, and design techniques for real-time digital signal processors .

On successful completion of this module you will be able to...

2.1 employ advanced design skills for real-time FIR and IIR digital signal processors, including MATLAB applications.

On successful completion of this module you will be able to...

3.1 demonstrate skills relating to scientific method, systematic problem solving and creative problem solving.

  Classroom test   50%
 
  Classroom text: 1000 word equivalent
  Coursework   50%
 
  MATLAB-based design coursework: 1000 word equivalent
  Coursework   100%
 
  Supplementary assessment: to remedy deficiencies in original

Outline Syllabus:
Overview of the field of applications of DSP.
Realisation of digital linear systems: FIR and IIR systems.
Background theory: z-transform.
Digital filter design: FIR & IIR Filters, introductions to matched filters and adaptive filters.
The Fast Fourier transform:computational complexity of the DFT, implementations of the FFT and computational savings.
Spectrum estimation and analysis:, windowing, the periodogram.
DSP hardware: Introduction to DSP architecture; general-purpose DSP devices, fixed-point effects.
DSP algorithms: DSP structures and their algorithmic interpretation, other transforms (DCT, Walsh, wavelet).

Version No:  5