# Modules

### EEE2009 : Signals and Communications II

• Offered for Year: 2017/18
• Module Leader(s): Dr Martin Johnston
• Lecturer: Dr Kianoush Nazarpour
• Owning School: Engineering
• Teaching Location: Newcastle City Campus
##### Semesters
 Semester 2 Credit Value: 20 ECTS Credits: 10.0

#### Aims

To provide knowledge and understanding of the fundamentals of linear systems theory and its application to the analysis of signals and system behaviour.
To provide understanding of the basic design principles of communication systems.
To enhance understanding of communications concepts and systems.
To enable the student to appreciate the vital role of analogue and digital communications in the modern world.
To understand basic concepts of information theory and channel coding.

#### Outline Of Syllabus

Signals and Systems Overview
Introduction to continuous and discrete signals and systems, classifications of signals, operations of signals, convolution.

Laplace Transform
The definition of Laplace transforms and their properties and applications, inverse Laplace transform, continuous time poles and zeros concepts, circuit analysis by applying Laplace transforms.

Fourier transform
The impulse response, transfer function, Fourier transforms for systems and signals and their applications, inverse Fourier transform, Fourier transform properties, Discrete Fourier transforms, Fast Fourier transform and their application to beyond 3G mobile communication systems.

Z-Transform
Z transform and its applications, sampling, discrete time pole/zero concepts, description of transfer matrices, analysis of discrete time systems.

Communication system overview
Introduction to elements of communication systems, coding, modulation, channels.

Analogue modulation
Amplitude modulation, frequency modulation, narrow and wide band FM systems.

Digital Communication Schemes
Amplitude shift keying (ASK), Frequency shift keying (FSK), Phase shift keying (PSK), Quadrature amplitude modulation (QAM), spectrum efficiency and system demands, performance in noisy channels.

Information Theory
Entropy and mutual information, conditional entropy and mutual information, relationship between entropy and mutual information, channel capacity and Shannon theorems,

Error detection and correction coding
Introduction to channel coding and its benefits, the importance of the minimum Hamming distance and its effect on error detection and correction, a study of two coding schemes: parity check and repetition codes, simple decoding algorithms.

#### Teaching Methods

##### Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion215:0030:00Problem solving exercises
Guided Independent StudyAssessment preparation and completion25:0010:00Lab reports
Guided Independent StudyAssessment preparation and completion480:3024:00Revision for final exam
Guided Independent StudyAssessment preparation and completion12:002:00Final exam
Scheduled Learning And Teaching ActivitiesLecture121:0012:00Tutorials
Scheduled Learning And Teaching ActivitiesLecture481:0048:00Lectures
Scheduled Learning And Teaching ActivitiesPractical43:0012:00Electronics Laboratory
Guided Independent StudyIndependent study131:0031:00reviewing lecture notes.
Total200:00
##### Teaching Rationale And Relationship

Lectures provide core material and guidance for further reading. Problem solving is introduced through lectures and practised during tutorial sessions. Laboratory sessions provide an opportunity to gain practical experience of the application of techniques introduced during lectures

#### Assessment Methods

The format of resits will be determined by the Board of Examiners

##### Exams
Description Length Semester When Set Percentage Comment
Written Examination1202A70N/A
##### Other Assessment
Description Semester When Set Percentage Comment
Prob solv exercises2M15Problem solving exercises for signals and communications.
Practical/lab report2M15Completion of a notebook for lab report preparation worth 3% and two lab reports worth 6% each.
##### Assessment Rationale And Relationship

The examination provides the opportunity for the students to demonstrate their understanding of the course material. The problem solving aspects of the examination and of the assignment enable the students to demonstrate that they are able to apply this understanding and their analysis and synthesis skills to specific problems. The laboratory report provides the opportunity for the students to demonstrate an in-depth understanding of selected topics.