Digital Signal Processing (Theory and Application)



Overview

The course provides a good understanding of DSP principles, and their implementation and equips you to put the ideas into practice and/or to tackle more advanced aspects of DSP.

'Hands-on' laboratory sessions are interspersed with the lectures to illustrate the taught material and allow you to pursue your own areas of interest in DSP. The hands-on sessions use specially written software running on PCs.

In the first session you will simulate signals and systems in both the time and frequency domains and work through illustrations of basic DSP functions.

This will be followed by practical experiments with audio inputs and outputs and you will conduct experiments with external equipment to explore the real time capability of DSP.

Note that there is a one-day optional supplement to this course, Digital Signal Processing Implementation (algorithms to optimization).

All delegates will receive a copy of the latest edition of Understanding Digital Signal Processing by Richard Lyons (Pearson Education).

 

Benefits

  • A comprehensive grounding in DSP concepts and algorithms plus practical information on the design and implementation of DSP systems.
  • Gives a good understanding of DSP principles and their implementation and equips the delegate to put the ideas into practice and/or to tackle more advanced aspects of DSP
  • The theoretical knowledge is illustrated by application examples, by demonstrations and by work in the laboratory.
  • Limited numbers of delegates (usually 16 maximum) to ensure full advantage of laboratory practice.
  • There are three 'hands-on' laboratory sessions, shown in the image, interspersed with the lectures which are designed to illustrate the taught material and allow you to pursue your own areas of interest in DSP.

What people say about the course...

It was informative, enjoyable and stimulating
- Daryl Hond, Senior Algorithm Engineer, Thales Research and Technology

Excellent content, very lively thanks to the two excellent presenters
- Anonymous

A very good introduction to DSP theory
- Andy Selfe, Principal RF Engineer, Thales Group

Programme details

Test and measurement equipment for this course is supplied by Keysight Technologies.

Course content

Introduction

  • Signal Processing
  • what is DSP?
  • advantages and disadvantages
  • quantisation and sampling
  • aliasing
  • anti-aliasing
  • reconstruction filters

Theoretical Foundations

  • difference equations and z transforms
  • finite and infinite impulse response filters (FIRs and IIRs)
  • poles, zeros and frequency response
  • correlation

Design of Digital Filters

  • FIRs and IIRs
  • Butterworth
  • Chebyshev and Elliptical filters
  • linear-phase, windowing
  • bilinear transform & frequency warping
  • direct synthesis by CAD
  • hardware & software implementations
  • wordlength
  • precision and stability

Frequency Domain Processing

  • continuous and discrete Fourier transforms
  • The fast Fourier transform (FFT)
  • applications
  • convolution
  • correlation

DSP Hardware

  • A/Ds, D/As and over-sampling
  • microprocessors
  • DSP processors
  • fixed and floating point comparisons
  • programming and debugging techniques

ASIC Implementation

  • technologies
  • architectures for high performance
  • pipelining and bit-slices
  • carry-save and carry-look-ahead
  • array multipliers

Some Typical DSP Applications

  • speech recognition
  • control
  • image recognition
  • radar
  • room response analysis
  • demonstrations.

Discussion and Feedback
Future trends

First day registration from 8.30am when course materials will be distributed.
Refreshments from 8.30am on the first day plus two 30 minute breaks during the day and a one-hour lunch break.
The course will begin at 9.00am and end at approximately 5.00pm on each day.

Attending Your Course 

Further details will be emailed to you two weeks ahead of your course, which will include registration information. 

Please get in touch if you have not received this information within five working days of the course start date.  

In the meantime, you may wish to plan your travel: Travel information

Certification

Participants who attend the full course will receive a University of Oxford certificate of attendance. This will be presented to you prior to the end of the course wherever possible.

The certificate will show your name, the course title and the dates of the course you attended.

Fees

Description Costs
Course fee, standard £1425.00
Add Digital Signal Processing Implementation £455.00

Payment

Standard course fee for the Digital Signal Processing (theory and application) course only is £1425.00, but you can also enrol on the Digital Signal Processing Implementation (algorithms to optimisation) course at checkout for an additional £455.00

Fees include course materials, tuition, refreshments and lunches. The price does not include accommodation.

All courses are VAT exempt.

Register immediately online 

Click the “book now” button on this webpage. Payment by credit or debit card is required.

Request an invoice

If you require an invoice for your company or personal records, please request one from the administration team.

Payment is accepted online, by credit/debit card, or by bank transfer.

Tutors

Mr John Edwards

Speaker

Sigma Numerix Ltd

Since obtaining his BEng (Hons) from the University of Bradford, in the 1980s, John has worked as a Signal Processing Applications Engineer for companies such as Loughborough Sound Images, Blue Wave Systems, Motorola, Picochip Designs and XMOS Semiconductors.

John now works as a Digital Signal Processing and Embedded Systems Consultant for Sigma Numerix Ltd. He has worked with DSPs in a wide range of applications including wireless (2G, 3G WCDMA and 4G LTE), Voice Over IP, voice band and broadband modems, control, medical instrumentation and noise and vibration analysis.

John has been a visiting lecturer at the University of Oxford since 1993 and teaches the annual Digital Signal Processing course as part of the Summer Engineering Program, for Industry.

John is a member of the IET, IEEE, and is a regular contributor of papers at international DSP conferences.

Mr Volker Mauer

Speaker

FPGA System Architect, Intel PSG

Volker has a B.Sc. in Information & Communication Systems from Furtwangen University and an M.Sc. in VLSI Design from Bournemouth University.

He previously worked for GEC Plessey Semiconductors and Siemens Semiconductors in the development GPS and GSM chip sets.

He currently works for Intel, where he covers DSP design for several application areas, including communication systems, test and measurement systems and radar, and is involved in the definition of DSP features for new device families.

Volker is a member of the IET and IEEE, and a Chartered Engineer. He holds more than 30 patents in the area of efficient hardware implementation of DSP functionality.

Application

If you would like to discuss your application or any part of the application process before applying, please click Contact Us at the top of this page.

Level and demands

Graduate level engineers and computer scientists who have limited experience with, and/or limited knowledge of DSP. Although a reasonable competence in mathematics will be helpful it is not essential and all the basic theory will be covered from scratch. This course is an ideal "refresher course" for those who have previously studied DSP.

If you're uncertain whether this course is suitable for your requirements, please email us with any questions you may have.

Accommodation

Although not included in the course fee, accommodation may be available at our on-site Rewley House Residential Centre. All bedrooms are en suite and decorated to a high standard, and come with tea- and coffee-making facilities, free Wi-Fi access and Freeview TV. Guests can take advantage of the excellent dining facilities and common room bar, where they may relax and network with others on the programme.

To check prices, availability and to book rooms please visit the Rewley House Residential Centre website. 

Terms & conditions for applicants and students

Information on financial support