MSc Communications and Signal Processing with Extended Research
Year of entry: 2023
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Course unit details:
Multi-Sensor Signal Processing & Imaging
|Unit level||FHEQ level 7 – master's degree or fourth year of an integrated master's degree|
|Teaching period(s)||Semester 2|
|Available as a free choice unit?||No|
- Introduction to sensor fusion for multi-sensor systems and tomography imaging
- Hard-field tomography: x-ray, gamma-ray, optical and terahertz tomography. Sensing principles. Introduction to algorithms for hard-field reconstruction. Software design. Hardware design: sources, detectors and measurement “train”. State-of-the-art in hard-field process tomography. Multi-sensor, multi-modality approach.
- Soft-field tomography: electrical impedance and capacitance tomography, electromagnetic tomography. Sensing techniques. Hardware design: sensors, measuring circuits and calibration. Soft-field reconstruction and software design, applications. State-of-the-art in soft-field process tomography.
This course unit detail provides the framework for delivery in the current academic year and may be subject to change due to any additional Covid-19 impact. Please see Blackboard / course unit related emails for any further updates.
The programme unit aims to:
- Introduce students to theoretical and practical fundamentals of signal and data processing for multi-sensor systems, addressing in detail the underlying principles, measurement techniques, image reconstruction and system design the example case of tomography imaging.
- Introduce students to the various aspects of multi-sensor data fusion for tomography imaging applications: medical, industrial, security.
- Enable students to undertake simple designs of multi-sensor and tomography imaging systems.
- Prepare students for Research and Development (R&D), academic or other employment in this area
|On the successful completion of the course, students will be able to:||Developed||Assessed|
Analyse the industrial needs and match them with existing technology; identify the needs for development of new technology and the basic drivers and developments in industrial multi-sensor systems.
|ILO2||Describe the physical and engineering principles of instrumentation for hard-field and soft field imaging.||X||X|
|ILO3||Perform conceptual designs of simple multi-sensor tomography systems.||X||X|
|ILO4||Define the inverse problem in a particular imaging scenario as an approach to sensor fusion.||X||X|
|ILO5||Perform back projection image reconstructions for soft field and hard field.||X||X|
|ILO6||Identify the motivation for multi-sensor fusion and the value of tomography imaging.||X|
Teaching and learning methods
Lectures, Pre-recorded videos, Tutorials, Practical Work/ Laboratory and Private Study
|Written assignment (inc essay)||30%|
Kak, Avinash C. (Avinash Carl),Principles of computerized tomographic imaging, IEEE Engineering in Medicine and Biology Society. Conference. Type: Book ISBN: 0879421983 Available At: Main Library Blue Area Floor 3 616.0757 KAK
Computed tomography fundamentals, system technology, image quality, applications
Kalender, Willi A. Type: Book ISBN: 9783895786440 Edition: 3rd ed.
Measurement Science and Technology, Volume 17, Number 8, August 2006
K.J. Binns, P.J. Lawrenson, C.W. Trowbridge, The analytical and numerical solution of electric and magnetic fields: Wiley 1992
Jianming Jin, The finite element method in electromagnetics: John Wiley & Sons 3rd ed. (2014)
|Scheduled activity hours|
|Practical classes & workshops||9|
|Independent study hours|
|Krikor Ozanyan||Unit coordinator|
|Wuliang Yin||Unit coordinator|