ECAM Engineering Program
Combined Bachelor's / Master's Degree
General Data
Academic program ECAM Engineering Program :
Type d'EC Classes
Lectures : 36h00
Personal work 114h00
Total duration : : 150
Status :
Period :
Semester 7 - STAFFORDSHIRE
Education language :
English
General objectives
This module provides an advanced study of modern digital signal processing (DSP) and some of its major applications. The module starts with discrete time analysis of signals and systems in the time domain and frequency domain. It also covers multi-rate processing, interpolation and decimation techniques. Finite Impulse Response and Infinite Impulse Response will be covered in depth. Other applications include mixed analogue digital signal processing, delta-sigma coversion, linear estimation, adaptive filtering, subj-band coding and 2D image processing. DSP devices and architectures will be covered and reinforced with practical and simulation laboratory sessions.

Learning Outcomes:
1) DEMONSTRATE A KNOWLEDGE AND UNDERSTANDING OF ADVANCED DSP METHODS AND SYSTEMATIC APPLICATION OF VARIOUS TECHNIQUES.
2) ANALYSE COMPLEX DSP SYSTEMS USING A VARIETY OF ANALYTICAL TOOLS AND ABILITY TO LEARN NEW TOOLS INDEPENDANTLY.
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.
4) DESIGN COMPLEX ALGORITHMS AND SYSTEMATICALLY TAKE INTO ACCOUNT NON-IDEAL EFFECTS AND PRACTICAL LIMITATIONS.
Content
MECH70581 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
Pre-requisites
None
Bibliography
"Digital Signal Processing", Sanjit K Mitra, McGraw-Hill, 2001, ISBN: 007118175
Assessment(s)
Nature Coefficient Observable objectives
1Learning Outcomes 1 & 2.Written exam
2Learning Outcomes 3 & 4.Practical work