Module Descriptors
DIGITAL SIGNAL PROCESSING
MECH70345
Key Facts
Faculty of Computing, Engineering and Sciences
Level 7
15 credits
Contact
Leader: Mansour Moniri
Email: M.Moniri@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 IN EXAMINATION CONDITIONS weighted at 50%
Module Details
Module Texts
"Digital Signal Processing", Sanjit K Mitra, McGraw-Hill, 2001, ISBN: 007118175X
Module Special Admissions Requirements
None
Module Resources
DSP Lab
Library, computing facilities, internet
Library, computing facilities, internet
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 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.
Module 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