Digital Signal Processing Applications - NHE2404

Assessment 4: Oral presentation/assessment

Oral presentation/assessment

Assessment 3: Practice exam/test

Practice exam/test

Assessment 1: Quizzes / polls

Quizzes / polls

Assessment 2: Written practice exercise

Written practice exercise

Assessment 3: In-Class Test

In-Class Test

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

Written Assignment

Assessment 2: Written Assignment

Design, simulate and implement digital filter(s) for a given engineering problem.

<p>The module combines the theory of signal processing and analysis of discrete time systems, with practical aspects of digital signal processing (DSP) applied to the design of digital filters. We will focus on signal processing operations and analysis in time and frequency domain and digital filter (FIR and IIR) design and simulation using MATLAB. You’ll be supported in implementing your digital filter design using DSP software and hardware development systems. A range of DSP design case studies (for example audio filters and two-dimensional filters for image processing), will be used to illustrate typical DSP applications through practical laboratory work.</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/NHE2404</p>

Container 1

Electrical Engineering

NHE2404 - Digital Signal Processing Applications

Digital Signal Processing Applications

Solve practical digital filter design problems through the development of hardware/software solutions.

Design and evaluate digital filters using a CAE package.

Assess the performance of DSP systems, through practical tests and critical evaluation.

Understand the operation of DSP systems and aspects associated with their performance.

Examine, compare and evaluate the mathematical methods used to design and analyse digital signal processing systems and solve theoretical digital filter design problems.