Teaching Responsibility

LJMU Schools involved in Delivery:

Engineering

Learning Methods

Lecture
Practical

Module Offerings

6301ELE-JAN-CTY

Aims

This module is intended to provide students with a good appreciation of the mathematical concepts necessary to apply digital signal and image processing algorithms to a range of engineering problems.

Learning Outcomes

1.
Characterise analogue and digital systems using appropriate transforms, impulse response and convolution
2.
Design and implement digital filters
3.
Process and compress images using appropriate techniques
4.
Apply DSP to a range of applications

Module Content

Outline Syllabus:Signals and Systems - Foundations, Architecture Requirements and Characteristics Use of MATLAB Fundamentals – Linear Systems, Convolution and Properties of Convolution Transforms – Fourier: CTFT, DTFT, DFT, FFT; Laplace and Z-transforms Digital Filters - Basic Concepts Finite Impulse Response filters (FIR) - Design, Fourier Series Approximation Analogue Prototypes - Butterworth, Chebyshev, Elliptic; Analogue-To-Analogue Transforms Infinite Impulse Response filters (IIR) - Design, Bilinear, Impulse Invariant Transforms Digital Filters - Implementation, Algorithms & Finite Word Effects ADCs & DACs - Sample and Hold, Antialiasing Multirate Signal Processing – Interpolation and Decimation Time Frequency Analysis – Short term Fourier series, Wavelets, Filter-Banks 2D Signal Processing – Representation of images, image compression, 2D transforms
Module Overview:
This module provides you with a good appreciation of the mathematical concepts necessary to apply digital signal and image processing algorithms to a range of engineering problems. You will be able to characterise analogue and digital systems using appropriate transforms, impulse response and convolution. You will also learn to design and implement digital filters, process and compress images using appropriate techniques, and apply DSP to a range of applications.
Additional Information:This module will provide students with a sound grasp of the theory and applications of modern signal and image processing.

Assessments

Report
Centralised Exam