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As part of year one of the Integrated PhD (iPhD) programme, all students will undertake three short research projects (10-12 weeks each) in different laboratories. This offers students the opportunity to develop a broad range of laboratory skills and to develop a well-rounded understanding of their chosen field of study. Students will be offered as much choice as possible for each of the three projects, with information on project availability being provided by the module leads. Students will be encouraged to develop a wide range of skills that will support them for their research in years 2-4 of the programme.

Each student will have a clearly identified supervisor who will provide guidance and support in both the practical and theoretical elements of the project. Students will need to utilise appropriate research techniques to address a clear research question. In addition, students will be expected to develop a good understanding of the published literature within their field of study.

Assessment of the project will be through a written research report of approximately 5000 words.

As part of year one of the Integrated PhD (iPhD) programme, all students will undertake three short research projects (10-12 weeks each) in different laboratories. This offers students the opportunity to develop a broad range of laboratory skills and to develop a well-rounded understanding of their chosen field of study. Students will be offered as much choice as possible for each of the three projects, with information on project availability being provided by the module leads. Students will be encouraged to develop a wide range of skills that will support them for their research in years 2-4 of the programme.

Each student will have a clearly identified supervisor who will provide guidance and support in both the practical and theoretical elements of the project. Students will need to utilise appropriate research techniques to address a clear research question. In addition, students will be expected to develop a good understanding of the published literature within their field of study.

Assessment of the project will be through a written research report of approximately 5000 words.

As part of year one of the Integrated PhD (iPhD) programme, all students will undertake three short research projects (10-12 weeks each) in different laboratories. This offers students the opportunity to develop a broad range of laboratory skills and to develop a well-rounded understanding of their chosen field of study. Students will be offered as much choice as possible for each of the three projects, with information on project availability being provided by the module leads. Students will be encouraged to develop a wide range of skills that will support them for their research in years 2-4 of the programme.

Each student will have a clearly identified supervisor who will provide guidance and support in both the practical and theoretical elements of the project. Students will need to utilise appropriate research techniques to address a clear research question. In addition, students will be expected to develop a good understanding of the published literature within their field of study.

Assessment of the project will be through a written research report of approximately 5000 words.

As part of year one of the Integrated PhD (iPhD) programme, all students will undertake three short research projects (10-12 weeks each) in different laboratories. This offers students the opportunity to develop a broad range of laboratory skills and to develop a well-rounded understanding of their chosen field of study. Students will be offered as much choice as possible for each of the three projects, with information on project availability being provided by the module leads. Students will be encouraged to develop a wide range of skills that will support them for their research in years 2-4 of the programme.

Each student will have a clearly identified supervisor who will provide guidance and support in both the practical and theoretical elements of the project. Students will need to utilise appropriate research techniques to address a clear research question. In addition, students will be expected to develop a good understanding of the published literature within their field of study.

Assessment of the project will be through a written research report of approximately 5000 words.

Signal processing is an essential part of human life and of modern industrial systems. As humans we see and hear and process signals. This is the same in electronic systems: we sense and then process signals. We need to be able to understand these signals, sometimes to interpret them, sometimes to filter them and sometimes to develop systems to process them automatically. That is what this module is about, and we shall apply the processes to images and to music in continuous and discrete
systems.

Signal processing is an essential part of human life and of modern industrial systems. As humans we see and hear and process signals. This is the same in electronic systems: we sense and then process signals. We need to be able to understand these signals, sometimes to interpret them, sometimes to filter them and sometimes to develop systems to process them automatically. That is what this module is about, and we shall apply the processes to images and to music in continuous and discrete
systems.

Signal processing is an essential part of human life and of modern industrial systems. As humans we see and hear and process signals. This is the same in electronic systems: we sense and then process signals. We need to be able to understand these signals, sometimes to interpret them, sometimes to filter them and sometimes to develop systems to process them automatically. That is what this module is about, and we shall apply the processes to images and to music in continuous and discrete
systems.

This module aims to introduce to the students signal processing techniques, including analogue and digital filter design and systems design theories. The module also introduces the concepts of statistical signal processing including estimation and detection theories, with illustrative case studies to demonstrate how these techniques can be used in communications systems.

The module uses the specialist computation/simulation tool Matlab.

This module aims to introduce to the students signal processing techniques, including analogue and digital filter design and systems design theories. The module also introduces the concepts of statistical signal processing including estimation and detection theories, with illustrative case studies to demonstrate how these techniques can be used in communications systems.

The module uses the specialist computation/simulation tool Matlab.

Signals such as audio, music, sonar, image and video convey information about physical quantities that vary over time and space. Signals can, for example, describe acoustic vibrations or radio waves, and thus play an important role throughout engineering. To help engineers to record, process, transmit and understand this information, computational and mathematical tools are used.

In this module, you will study different principles used to analyse signals and will learn how signals are affected by certain systems. To do this, you will learn about fundamental concepts such as frequency analysis, spectral analysis and digital systems theory.

In frequency analysis, a signal is decomposed into different frequencies. As many systems affect different frequencies independently, such a description allows us to study a system by analysing how it affects different frequencies. For example, a loudspeaker can be described as a system and an engineer might be interested in designing this system so that it does not unduly boost or attenuate different frequencies, which would colour the sound of the speaker.

Spectral analysis also reveals the frequency content in a signal, but also takes account of the fact that most signals show significant random variation. These techniques are used, for example, to study physical systems and can be used to compare and relate different signals, such as, for example, the electrical signal driving a speaker and the acoustic signal reaching you ears.

Nowadays, when we analyse or process signals, we tend to use digital computers. Analogue signals thus need to be converted first to a digital representation. To understand when this is possible and to appreciate the errors that can occur if the correct requirements are not met, a more detailed understanding of this conversion process is required. This also leads to the related problem of analysing digital systems, using tools similar to those used for analogue, continuous systems.