Year 2, Component 02

This module provides you with a basic understanding of the analysis of linear systems and introduces you to filter design techniques for analogue signal processing. The Laplace transform and its application in circuit and system theory are introduced, together with the concepts of system transfer function and impulse response, and techniques for deriving the transfer function of a circuit. The steady-state response of systems to sinusoidal inputs is presented. Bode plotting techniques are covered, and the effects of feedback are investigated, and techniques for ensuring stability are discussed. Butterworth and Chebyshev filter approximations are introduced. After covering the concepts of frequency and impedance transformations, selected standard analysis and design techniques applied to low-pass, high-pass, band-pass and band-stop filters of both passive and active types are examined.

This module introduces fundamental concepts of digital signal processing and their applications in the analysis of biomedical signals. It describes how signals can be represented as digital waveforms, explores the application of digital filtering techniques to enhance noisy signals, and looks at analysis of signals in both the time and frequency domains. Additionally, the module explores the extraction of biomedical signal characteristics for classification tasks. The module is designed to teach Digital Signal Processing to students without prior knowledge of calculus or Fourier analysis. However, you should take an introductory mathematics module to prepare you for this module, such as Mathematics for Computing.