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.
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