Module Descriptors
DIGITAL SIGNAL PROCESSING
ELEC70561
Key Facts
Digital, Technology, Innovation and Business
Level 7
15 credits
Contact
Leader: Anas Amjad
Email: A.Amjad@staffs.ac.uk
Hours of Study
Scheduled Learning and Teaching Activities: 36
Independent Study Hours: 114
Total Learning Hours: 150
Assessment
- ASSIGNMENT weighted at 50%
- EXAMINATION - UNSEEN EXAMINATION IN EXAM CONDITIONS weighted at 50%
Module Details
INDICATIVE CONTENT
This module provides an advanced study of modern digital signal processing (DSP) and some of its major applications including algorithms and architectures:
- Frequency and time analysis of discrete time systems
- Finite Impulse Response (FIR) digital filter design
- Infinite Impulse Response (IIR) digital filter design
- Multi-rate processing and oversampling
- Non-ideal effects
- Mixed analogue-digital signal processing, delta-sigma conversion
- Linear estimation and adaptive filtering
- Coding, Wavelet, Fast Fourier Transform (FFT) and Discrete Cosine Transform (DCT) algorithms
- 2D/3D processing
- DSP devices and architectures
- Practical DSP implementation
- Frequency and time analysis of discrete time systems
- Finite Impulse Response (FIR) digital filter design
- Infinite Impulse Response (IIR) digital filter design
- Multi-rate processing and oversampling
- Non-ideal effects
- Mixed analogue-digital signal processing, delta-sigma conversion
- Linear estimation and adaptive filtering
- Coding, Wavelet, Fast Fourier Transform (FFT) and Discrete Cosine Transform (DCT) algorithms
- 2D/3D processing
- DSP devices and architectures
- Practical DSP implementation
ADDITIONAL ASSESSMENT DETAILS
Students will be assessed by one theoretical and practical assignment and one examination.
1 x 2 hours exam contributing to 50% of the overall module mark which will assess Learning Outcomes 1, 2 and 3.
Assignment with theoretical and practical parts contributing 50% of the overall module mark which will assess Learning Outcomes 3 and 4.
Satisfactory performance in all elements of assessment is required to pass this module.
1 x 2 hours exam contributing to 50% of the overall module mark which will assess Learning Outcomes 1, 2 and 3.
Assignment with theoretical and practical parts contributing 50% of the overall module mark which will assess Learning Outcomes 3 and 4.
Satisfactory performance in all elements of assessment is required to pass this module.
LEARNING STRATEGIES
Lecture/Laboratory/Tutorial - 36 hours
Student Centred Learning - 114 hours
(1:n)2 (1:20)1
Student Centred Learning - 114 hours
(1:n)2 (1:20)1
MODULE RESOURCES
DSP Lab
Library, computing facilities, internet
Library, computing facilities, internet
SPECIAL ADMISSIONS REQUIREMENT
None.
MODULE TEXTS
"Digital Signal Processing", Sanjit K Mitra, McGraw-Hill, 2001, ISBN: 007118175
X
X
LEARNING OUTCOMES
1) DEMONSTRATE A KNOWLEDGE AND UNDERSTANDING OF ADVANCED DSP METHODS AND SYSTEMATIC APPLICATION OF VARIOUS TECHNIQUES.
(Knowledge & Understanding)
2) ANALYSE COMPLEX DSP SYSTEMS USING A VARIETY OF ANALYTICAL TOOLS AND ABILITY TO LEARN NEW TOOLS INDEPENDANTLY.
(Analysis)
3) FIND SOLUTIONS FOR A WIDE RANGE OF DSP APPLICATIONS AND CRITICAL EVALUATION OF METHODOLOGIES AND TECHNIQUES IN TERMS OF ALGORITHM REQUIREMENT ADN IMPLEMENTATION PLATFORMS.
(Application)
4) DESIGN COMPLEX ALGORITHMS AND SYSTEMATICALLY TAKE INTO ACCOUNT NON-IDEAL EFFECTS AND PRACTICAL LIMITATIONS.
(Learning)
(Knowledge & Understanding)
2) ANALYSE COMPLEX DSP SYSTEMS USING A VARIETY OF ANALYTICAL TOOLS AND ABILITY TO LEARN NEW TOOLS INDEPENDANTLY.
(Analysis)
3) FIND SOLUTIONS FOR A WIDE RANGE OF DSP APPLICATIONS AND CRITICAL EVALUATION OF METHODOLOGIES AND TECHNIQUES IN TERMS OF ALGORITHM REQUIREMENT ADN IMPLEMENTATION PLATFORMS.
(Application)
4) DESIGN COMPLEX ALGORITHMS AND SYSTEMATICALLY TAKE INTO ACCOUNT NON-IDEAL EFFECTS AND PRACTICAL LIMITATIONS.
(Learning)