Short course/CPD
Classical and Advanced Signal Processing
Course date: Please enquire
Course overview
This unique course has been specifically designed to meet the practical need of engineers in applying and developing signal processing tools for mechanical and electrical systems, materials, telecommunication, radar and sonar systems, mobile phones, etc.
The course presents the basic fundamentals of signal processing, as well as classical and advanced time-frequency signal processing methods and techniques.
The course will also stress advantages and limitations of various signal processing techniques and their relevance to specific applications and tasks. The choice of processing parameters needed for the use of commercial signal processing packages will be discussed.
Location
Cranfield University is located at the very heart of the UK – within the innovation triangle between London and the cities of Oxford and Cambridge.
Our central location provides easy access from the M1, excellent main line rail service as well as proximity to key international airports. Set in rolling countryside, Cranfield offers a rich, rural landscape complemented by thriving towns and picturesque villages.
- Road: We are just 10 minutes from Junctions 13 & 14 of the M1 motorway. There is free parking on campus.
- Rail: Milton Keynes or Bedford
- Air: London Luton (22 miles), Heathrow (50 miles) or Birmingham (70 miles).
Course fee:
£950
Accommodation fee:
£255
Accommodation is on a full-board basis from the evening before the course commences until the afternoon of the last day. The course fee includes a course dinner for all participants and refreshments and lunch during the day. The accommodation fee includes all other meals. Details of arrangements will be in the delegate information pack.
Speakers
Speaker
Professor Len Gelman, PhD, Dr. of Sciences, an Academician who has 25 years' experience in signal processing and monitoring both in industry and academia. He is the Chair of Vibro-Acoustic Monitoring, Director of the Centre of Vibro-Acoustics and Fatigue in the Applied Mathematics and Computing Group (AMAC) at Cranfield University and Director of the international Institute of Acoustics and Vibration (USA). He has been Principal Investigator on numerous grants including grants from USA National Academic of Sciences, USA Research Council, USA Science Foundation, USA Civilian Research and Development Foundation (twice), USA MacArthur Foundation, Lady Davis, Israel and Centro Volta, Italy. He is Principal Investigator on EPSRC, DTI (three times), Royal Society, Shell, Rolls-Royce (twice), Boeing CEO, and Caterpillar (twice) grants.
He is a Fellow of the British Institute of NDT and Institution of Diagnostic Engineers, and Chairman of the Condition Monitoring and Diagnostic Technology Committee of the British Institute of IDT. He is the author of over 200 publications (including 17 patents) and 12 keynote papers, He has given 49 invited lectures to industry and academia in the USA, UK, France and Italy. He is editor-in-chief of the book series Condition Monitoring (Coxmoor, UK). He is Chair of 2007 World Congress on Engineering Asset Management, Honorary Co-Chair of 2007, 2008 and 2009 World Congresses of Engineering, and Chair of 2007, 2008, 2009 and 2010 International Condition Monitoring Conferences. He is a Chief Designer of numerous technologies and engineering prototypes. He has participated in the scientific boards of numerous international conferences, has spent a large amount of time lecturing and consulting to industry in all parts of the world, and has held visiting professor positions at 5 overseas universities.
How to register
Further information
For more information on this course or booking details please contact:
Academic Operations Unit
T: + 44 (0) 1234 754192
E: shortcourse@cranfield.ac.uk
Course description
Who should attend?
The course should be of interest to practitioners who need to evaluate results and reports, as well as the actual engineers acquiring processing or analysing data.
These include:
- Responsible senior managers, technical programme managers, design and test engineers and analysts
- Research students and research engineers
- Certification engineers
- Maintenance engineers
Topics
Day 1:
Introduction and overview
Discrete-time signals and systems
The discrete Fourier transform
- Definition
- Properties
- Aliasing
- Fast Fourier transform algorithms
The power spectral density
- Definition
- Properties
- Nonparametric estimation methods
- Parametric estimation methods
- Zero padding
Day 2:
The short-time Fourier transform
- Introduction
- Definition
- Properties
- The short-frequency time transform
- Window selection
- Signal reconstruction and discrete short-time Fourier transform
Digital filters
- General Considerations
- Finite impulse response (FIR) filters
- Infinite impulse response (IIR) filters
- Comparison of IIR and FIR filters
- Inverse filters
- Use of the DFT in linear filtering
Day 3:
The wavelet transform
- Introduction
- The continuous wavelet transform
- The wavelet transform, the Fourier transform and the short time Fourier transform
- Scale and frequency
- Mother wavelet
- Properties
- The multidimensional continuous wavelet transform
- The discrete wavelet transform
- The scaling function, compact support, vanishing moments and regularity
- The discrete wavelet transform through a filter bank
- Signal reconstruction
- Wavelet functions
The Wigner distribution
- Definition
- Properties
- The Wigner-Ville distribution
- Smoothing and pseudo Wigner distribution
- The discrete Wigner-Ville distribution
- The Wigner distribution and Fourier transform
Applications and Case Studies
Closing Discussion
Course Director
Professor Len Gelman
Tel: +44 (0) 1234 750111 extension 5425
Fax: +44 (0) 1234 758203
Email: l.gelman@cranfield.ac.uk
