Digital Signal Processing - Theory and Application Training Course

About the Training Course

'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.

Who is this training course for?

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.

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 to ensure full advantage of laboratory practice.
• There are three 'hands-on' laboratory sessions interspersed with the lectures which are designed to illustrate the taught material and allow you to pursue your own areas of interest in DSP.

All delegates will receive a free copy of Digital Signal Processing: Concepts and Applications (Mulgrew, Grant, Thompson - Palgrave Macmillan).

Training Course Content

Introduction

Signal Processing; What is DSP?; Advantages and disadvantages; Quantisation and sampling; Aliasing; Anti-aliasing and 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

DPS 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

 

About the Lecturers

• Dr Will Moore, Department of Engineering Science, University of Oxford
• John Edwards, Senior Field Applications Engineer, picoChip Designs Ltd

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