Advanced Digital Signal Processing
12-16 February 2007
This intensive course is designed to give an appreciation of the theory and application of digital signal processing. Starting at introductory level, the course covers fundamental theory including the Discrete Fourier Transform, and Fast Fourier Transform algorithms; it then progresses into the design of digital filters.
The theory and applications of adaptive filters is covered, and the course then moves into a discussion of statistical signal processing, including Bayes estimators, and Wiener filtering. There will be exercises to show the use of state-of-the-art DSP simulation software in the solution of signal processing problems.
Practical work reinforces the theoretical concepts introduced.
THE LECTURERSThe course is presented by some of the leading academics in the field of Digital Signal Processing at the University of Surrey.
Dr Ted Chilton
Dr Ted Chilton held the Racal Research Fellowship for four years from 1984-1988 and is now a Senior Lecturer with the Centre for Vision, Speech and Signal Processing (CVSSP). His specialist areas are in speech recognition and the application of transforms to a variety of signal processing problems.
Professor Josef Kittler
Professor Josef Kittler is Director of CVSSP at the University of Surrey. He has more than 30 years of experience in pattern recognition, using both statistical and neural network approaches. He has worked on various theoretical aspects of Pattern Recognition and on many applications including System Identification, Automatic Inspection, ECG diagnosis, Remote Sensing, Robotics, Speech Recognition, Character Recognition, Document Analysis, Biometrics, Image and Video Retrieval and Computer Vision. He has co-authored a book with the title ``Pattern Recognition: a statistical approach'' and published more than 400 papers. He is a member of the Editorial Boards of Pattern Recognition Journal, Image and Vision Computing, Pattern Recognition Letters, Pattern Recognition and Artificial Intelligence, Machine Vision and Applications, and Pattern Analysis and Applications.
Professor Maria Petrou
Professor Maria Petrou received her BSc in Physics from the Aristotle University of Thessaloniki, Greece, and her PhD in Astronomy from the University of Cambridge, UK. She has been working on Image analysis since 1986 and has published more than 250 papers, on Astronomy, Low Level Vision, Feature Extraction, Texture Analysis, Markov Random Fields, Multiresolution optimisation, Probabilistic Relaxation, Colour, Remote Sensing, Industrial Inspection, Medical Signal Processing, etc. She has co-authored a book ``Image Processing: the fundamentals'' published by John Wiley. She is a Chartered Engineer, member of IEEE, Fellow of IEE, Fellow of IAPR. She is Honorary Editor at IEE Electronic Letters and the Treasurer at IAPR.
Dr Philip Jackson
Dr Philip Jackson is lecturer of speech and audio processing in CVSSP, with ten years' experience of signal processing since graduating with honours from Cambridge University Engineering Department. In industry, he developed Active Noise Cancellation systems for commercial aircraft, including the world's first. His PhD, awarded in 2000 by the University of Southampton, was on Acoustic Modelling and Speech Analysis of consonants. He was then research fellow at the University of Birmingham with a project to apply articulatory methods in Automatic Speech Recognition that was rated "outstanding" by EPSRC, before coming to Surrey.
SYLLABUS (provisional- -please bookmark this page)
Day 1 (Dr E Chilton)
Brief overview of the Fourier Transform
The Discrete Fourier transform
The Magnitude and Phase Spectra
The Cosine transform
The Hartley transform
The relationship between the Hartley and Fourier transforms
The Hartley Phase spectrum for phase and time-delay measurement
The Wigner-Ville transform for time-frequency representation
Revision of Signal statistics
The Correlation and Covariance functions
The Autocorrelation Matrix.
Autoregessive and Moving Average Models
Linear Prediction as an Autoregressive model filter
The Yule-Walker Equations
Durbin's Algorithim as a solution to the Yule-Walker equations
The Weiner filter
FIR adaptive filters
The Cost function
The Method of Steepest Descent
Day 2 (Dr P Jackson)
Overview of stochastic time-series approaches
Dynamic time warping
Hidden Markov models (HMMs)
- likelihood computation
- optimal path decoding (Viterbi algorithm)
- parameter estimation (Baum-Welch EM algorithm)
Discrete & continuous emission pdfs
Mixtures of Gaussians
Day 3 (Dr E Chilton & Dr P Jackson)
Introduction to Matlab exercises
Laboratory: signal processing in Matlab
Processing and analysis of speech signalsLaboratory: techniques applied to speech
Day 1 (Professor M Petrou)
Higher order statistics and their Applications
Wavelet theory. Wavelet based signal and image processing.
The Uncertainty Principle in signal analysis. Gabor functions
Optimisation techniques: simulated annealing and genetic algorithms.
Day 2 (Professor J Kittler)
Statistical structures and the neuron approach.
The Multi-layer Perceptron Neural Network.
Radial based Functions and their applications.
Feature Extraction: classification and Learning.
Day 1 Day 2 Day 3 Dr E Chilton Dr Philip Jackson Dr Philip Jackson and Dr Edward Chilton Lecture 1 09:00 Fourier, Cosine and Hartley Transforms
Introduction to Stochastic Models
Lecture 2 11:00 Wigner-Ville trans.
HMMs and Viterbi Algorithm
Lecture 3 13:30 Revision of Signal Statistics,
Introduction to Speech Exercises
Lecture 4 15:30 Wiener filters
FIR adaptive filters
Output Probability Functions
Day 1 Thursday Day 2 Friday Professor Maria Petrou Professor Josef Kittler Lecture 1 09:00
Higher order statistics and Applications
Lecture 2 11:00
Uncertainty principle applied to signal processing
The neuron approach.
Lecture 3 13:30
Wavelet based signal processing
Multi-layer perceptron neural networks Tea 15:00
Lecture 4 15:50
Simulated annealing genetic algorithms
Radial based functions
Revised 20th June 2005
Price per person, including lunch, refreshments and printed course notes
- £1560 - Standard rate
- £1475 - Early bird rate for payment received by 12 January 2007For IEE Members (proof of membership needed)
- £1560 - Standard rate
- £1425 - Early bird rate for payment received by 12 January 2007
It is possible to split this course and attend Monday - Wednesday or Thursday - Friday subject to sufficient delegates being registered on the course. Please enquire for price.
Group discounts available for registrations of 3 or more delegates from one company - please telephone Barbara Steel, CE Manager, on 01483 686040 for further information. VAT is not charged as the University is an educational establishment.
Enquiries should be addressed to: Barbara Steel, CE Manager Tel: +44(0)1483 686040Fax: +44(0)1483 686041 or send an email by clicking below:To reserve a place on the above course please complete this Registration Form
Short Courses EnquiryTo reserve a place on the above course please complete this Registration Form
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Barbara Steel: 15 August 2006