Short course/CPD

Digital Signal Processing

 

Course date: Please enquire

Course overview

Digital signal processing, a major technology in almost all modern hi-tech applications and products, is at the heart of mobile phones, communications and vibro-acoustical condition monitoring. The aim of this course is to provide an industry oriented course covering not only the theoretical aspects of classical and advanced time-frequency DSP but also the solid implementation aspects of the subject for students wishing to pursue a career in such areas as communications, speech recognition, bio-medical engineering, acoustics, vibrations, radar and sonar systems and multimedia.

 
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).

View our location maps.

Course fee:

£1320

Accommodation fee:

£435

Speakers

Professor Len Gelman, Dr. of Sciences, an academician who has 35 years experience in signal processing and monitoring of mechanical systems 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 grants from USA National Academy 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 and Rolls Royce (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 NDT.  He is the author of over 200 publications (including 17 patents) and 11 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 and 2008 World Congresses of Engineering and Chair of 2008 Condition Monitoring Conference.

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 Booking Conditions

Course description

Objectives

Delegates on this short course will be able to understand:

• The concepts of discrete time signals and systems and correlation of discrete time signals.
• The concept, properties and application of the classical discrete Fourier transform.
• The concepts, properties and application of the non-parametric and parametric estimates of the classical power spectral density.
• The fundamental principles of advanced time-frequency signal processing.
• The concept, properties and application of the advanced time-frequency technique, the short time Fourier transform.
• The concept, properties and application of the advanced time-frequency technique, the wavelet transform.
• The concept, properties and application of the advanced time-frequency technique, the Wigner distribution.
• The concept, properties and application of digital filtering, including adaptive inverse and Kalman filters.

Topics

• Discrete-time signals and systems
• The correlation of discrete-time signals
• The discrete Fourier transform
• The power spectral density
• The short time Fourier transform
• The wavelet transform
• The Wigner distribution
• Classical and adaptive digital filtering.

Course director

Professor Len Gelman
T: +44 (0) 1234 750111 ext 5425
E: l.gelman@cranfield.ac.uk

Professor Gelman can be contacted for further information about the course content.