Digital Signal Processing

7-11 June 2010

 

Please note that our "Digital Signal Processing" course is endorsed by the IET and that the CE Office, FEPS University of Surrey is an Endorsed Provider. Endorsement requires the courses going through the IET Quality Assurance process and training organisations cannot claim to be Endorsed without undertaking assessment by the IET.

 

Please note that we do not charge VAT on this course.

 

PRICE

Price per person, including lunch, refreshments and printed course notes

IMPORTANT

If you wish to make a provisional registration please email the CE Manager on b.steel@surrey.ac.uk

Please note that we do not charge VAT as we are an educational establishment. This makes the price of this course very competitive!

 

Course Overview

This introductory Course introduces the basic concepts of Digital Signal Processing in conjunction with the MATLAB programming environment.  The course introduces the key concepts in signal processing, FIR and IIR digital filters, and the Fast Fourier Transform (FFT), which are immediately reinforced through hands-on computer exercises.

In addition, participants will be introduced to signal processing behind audio, image and video processing techniques, including adaptive signal processing, wavelet analysis, MPEG video compression and other techniques used in modern communication systems.

The course is suitable for electronics engineers and telecommunications engineers. No previous knowledge of DSP is assumed.

 

Course Content

Day 1

Sampling theory, Sampling theorem, and aliasing. Description of sampled signals.
Fourier, Laplace and Z Transforms and relationships?
Linear time-invariant systems, Transfer function, Poles and Zeroes, Discrete Fourier Transform, Fast Fourier Transform

Day 2

Z transform and relations to Fourier descriptions of system transfer functions
Stability conditions
Approximating transfer functions
Analogue filter desings
IIR Filter Basics
FIR Filter Basics

Day 3

Filter design Laboratory
Adaptive filtering: Weighted Least Integral-Squared FIR design and straightforward matrix solution
Importance of real-time adaptive systems; the LMS algorithm
Noise in DSP
Introduction to multi-rate systems
Up-sampling; zero-insertion interpolation and zero-order holding. Linear interpolation and general interpolation filter requirements
Down-sampling and in-band aliasing
Sample rate conversion
Exercises in multi-rate processing

Day 4

Image and Video Coding I

Introduction to basic video coding concepts; Spatial and temporal redundancy in video; Human Vision System characteristics; Frequencies in images; Discrete Cosine Transform; Quantisation.

Image and Video Coding II

Motion estimation and compensation; Fast motion estimation; Video communications issues.

Image and Video Coding 3

Standards: JPEG. MPEG, H.26x, Scalable H.264 (SVC); H.264 (aka MPEG-4 AVC) coding techniques; Adaptive deblocking for video quality enhancement.

Image and Video Coding Lab

MATLAB demonstrations of the concepts in image and video coding

Day 5

Introduction to Wavelets. Time-frequency representations. Orthogonal bases and filter-banks. Wavelet transforms and wavelet packets. Wavelet filter-bank design. Biorthogonal wavelets. Applications of wavelets in signal subband coding.

 

Recommended Reading

John G. Proakis, Dimitris K Manolakis, “Digital Signal Processing: Principles, Algorithms, Applications” (4th Ed), ISBN: 0201398516,  Prentice-Hall

Alan V. Oppenheim, Ronald W. Schafer, John R. Buck, “Discrete-Time Signal Processing” (2nd Ed), ISBN: 0130834432, Prentice-Hall

Emmanuel Ifeachor, Barrie  Jervis, “Digital Signal Processing: A Practical Approach” (2nd Ed), ISBN: 0201596199, Addison-Wesley

Vinay K. Ingle, John G. Proakis, “Digital Signal Processing Using MATLAB”, ISBN: 0534371744, Cengage-Engineering

Martin Vetterli, Jelena Kovacevic, “Wavelets and Subband Coding”, ISBN: 0-13-097080-8

 

The Lecturers

 

Dr Janko Calic, lecturer in the Multimedia and DSP Group at the Centre for Communication Systems Research (CCSR), University of Surrey. His expertise include multimedia signal processing, content based retrieval and human computer interfaces.

 

Dr Stewart Worrall is an academic in the Multimedia and DSP Group at the Centre for Communication Systems Research (CCSR), University of Surrey. He has seven years experience in the fields of video compression, and video communications. His research has been published in a significant number of international journals and conferences.

 

 

TIMETABLE

 

 

 

Time

Monday

Tuesday

Wednesday

Thursday

Friday

9:00

Introduction to DSP

Dr J Calic

ZT and Pole Zero Diagrams

Dr J Calic

Filter design Laboratory

Dr J Calic

Image and Video Processing I

Dr S Worrall

Introduction to Wavelets

tbc

10:30

Coffee

Coffee

Coffee

Coffee

Coffee

11:00

Introduction to DSP

Dr J Calic

Introduction to Filter design

Dr J Calic

Adaptive Filtering

Dr J Calic

Image and Video Processing II

Dr S Worrall

Wavelets: theory and design

tbc

12:30

Lunch at 12:30

Lunch at 12:30

Lunch at 12:30

Lunch at 12:30

Lunch at 12:30

13:30

Discrete time signals and MATLAB

Dr J Calic

FIR Filter design

Dr J Calic

Noise in DSP

Dr J Calic

Image and Video Processing III

Dr S Worrall

Wavelets: properties

tbc

15:00

Tea

Tea

Tea

Tea

Tea

15:30

DFT and FFT

Dr J Calic

FIR Filter design

Dr J Calic

Multirate Systems

Dr J Calic

Image and Video Processing Lab

Dr S Worrall

Applications of wavelets and exercises

tbc

 

 

17:30

Finish

Finish

Finish

Finish

Finish

 

 

Revised 9 October 2009

 

Accommodation.

A list of hotels in the Guildford area is available

Currently we cannot offer accommodation for this week on campus. This is a very busy week in Guildford generally so early booking of accommodation is highly advisable!

 

Registration

Purchase Orders

Please fax these to +44(0)1483 686041

Bank Transfers  - Please fax evidence of payment and, once the money has been transferred, we will issue a receipt of payment.

Credit Card Payments.

We can accept payment by credit card. However, these take time to process and can hold up registration, particularly in the case of overseas attendees where a VISA application is required. Therefore, when faxing us credit card details please include the following:

We cannot process your card without these details

Please note that we do not take AMEX.

TAKE THE CREDIT -THE MODULAR MASTERS PROGRAMME

Digital Signal Processing is also an element within the unique MSc awarded by the University of Surrey. Suitably registered candidates can obtain MSc credit through this course.

Courses currently participating in the Modular Masters Programme are listed below.

* It is possible to gain extra credits on these modules by taking examinations/assignments based on the full Module MSc syllabus.

 (1) Counts as one module.
Registration on the Modular Masters scheme is optional and currently free. In addition to the opportunity to build credits towards a recognised qualification, benefits will include the availability of tutorial support and the opportunity to increase understanding through integrated exercises.

Assessments are mainly by examination with some Assignment content.

All courses are stand alone modules and therefore can be attended on an individual basis.

Students will have up to 4 years to complete their studies.

Pre-registration for the MSc via short courses is currently free, however, a charge of £100 per module is made for the examinations.

 

 

Further Information

For further information and general enquiries, contact the Continuing Education Office

Back to Main Short Courses Page

Updated 9 October 2009