Signal Analysis and Processing - NME3523

Assessment 1: Written practice exercise

Taught material will contribute an element to in-class written practice exercises on a white board biweekly. 6x 15 minutes.

Written practice exercise

Assessment 2: Written practice exercise

Taught material will contribute an element to in-class written Matlab exercises on a PC, using relevant software, biweekly. 6x 1.5 hour.

Assessment 3: In-Class Test

Whole syllabus, unseen, closed book, in person. Exam conditions apply.

In-Class Test

Assessment 2: Written Assignment

Coursework Report: Based on the whole syllabus, unseen, open book, report collecting the findings of home study work.

Written Assignment

Assessment 1: Written Assignment

Taught material will contribute an element every week to the SAIL programme (Score As I Learn) submitted via the VLE platform. 11 x 15 minutes weekly assignments. Each assignment will be worth 3%. Taking the best 8 out of 11 scores.

<p>This module is concerned with the main fundamental frequency and time-frequency transforms, which form the basis of modern signal processing. In this module you will gain an understanding of the classical, advanced and novel signal processing techniques for characterising and processing digital signals and learn how these techniques can be used in various industrial signal processing applications; fundamental concepts, related to digital signals; the Fourier transform and the power spectral density; the advanced time-frequency transforms: the short-time Fourier transform, the short time chirp Fourier transform and the wavelet transform; classical and advanced digital filters; and the advanced and novel higher order spectra. This module is applicable to a wide range of industrial sectors: aerospace, oil and gas, transport, power generation, construction industry, communication, including cell phone industry, food industry, healthcare and many others.</p>

Requirements apply to students taking an IET accredited course. Please refer to the Programme Specification Document for details.

School of Computing and Engineering

<p>https://library.hud.ac.uk/readinglists/NME3523</p>

Electrical Engineering

NME3523 - Signal Analysis and Processing

Signal Analysis and Processing

Critically analyse and characterise signals, in the time and frequency domains, and apply classical signal processing techniques, using industrially relevant software, based on the discrete Fourier transform.

Critically appraise different digital filtering methods and the classical and advanced transforms to noisy digital signals from transducers.

Apply and critically appraise the digital filtering techniques and the classical and advanced higher order spectra for processing of digital signals for industrial applications.

Apply and critically demonstrate advanced and novel time-frequency signal processing techniques for industrial applications.