Practical Digital Signal Processing for Engineers and Technicians

WHAT IS INCLUDED?

  • Receive a certificate of attendance in support of your continuing professional commitment
  • All workshops include the associated hardcopy technical manual
  • Printed workshop handouts
  • Lunch and refreshments
  • Interact and network with workshop attendees and experienced instructors
  • Practical, industry driven content to assist you in your continuing professional development (CPD)
  • Attendees automatically become IDC subscribers and receive exclusive deals and technical content every month

YOU WILL LEARN HOW TO:

  • Describe the fundamentals of Digital Signal Processing (DSP)
  • Apply DSP technology to improve efficiency
  • Analyse frequency of signals and the application of this knowledge
  • Correctly apply design digital filters
  • Analyse the performance of DSP systems
  • Identify the key issues in designing a DSP system
  • Specify features and capabilities of commercial DSP applications

WHO SHOULD ATTEND?

  • Condition monitoring engineers and technicians
  • Control system engineers
  • Communications system engineers
  • Design engineers
  • Electrical and electronic engineers
  • Instrumentation engineers

CONTENT SUMMARY

INTRODUCTION

  • Terminology and motivation
  • Why process digitally?
  • A typical DSP system
  • Some current application areas

DIGITAL TO ANALOG AND ANALOG TO DIGITAL CONVERSION

  • Periodic sampling and aliasing
  • Digital to analog converters
  • Analog reconstruction
  • Analog to digital converters

DISCRETE SIGNALS AND SYSTEMS

  • Discrete time signals; notation and representation
  • Classification of discrete systems
  • The concept of the impulse function
  • The concept of convolution
  • Auto-correlation and cross-correlation of signals

FREQUENCY ANALYSIS OF DISCRETE SIGNALS

  • Fourier series for periodic signals
  • Discrete Fourier Transform (DFT) for non-periodic signals
  • Understanding the DFT equation
  • DFT properties
  • The inverse DFT
  • The Fast Fourier Transform (FFT)
  • Frequency analysis of discrete signals ; use of Windows and DFT results interpretation
  • Fast computation of convolution using DFT
  • Other related transforms

DSP APPLICATION EXAMPLES

  • Digital waveform generators
  • Speech modelling and synthesis
  • Noise reduction and signal enhancement
  • Image restoration
  • Communications system

FIR DIGITAL FILTER DESIGN

  • Review of classical filter approximation techniques
  • Characteristics of FIR filters
  • Design methods
  • Design examples

IIR DIGITAL FILTER DESIGN

  • Characteristics of IIR filters
  • Design methods
  • Design examples

DIGITAL FILTER REALISATIONS

  • Direct from
  • Hardware realisations
  • Quantisation effects

COMMERCIAL DSP HARDWARE

  • Architectural difference between DSP chips and general purpose microprocessors
  • Texas instruments TMS320 family
  • Motorola DSP 56000 family
  • Analog devices ADSP-2100 family

PRACTICAL TOOLS FOR DSP SYSTEM DEVELOPMENT

  • Software and hardware development tools
  • Stimulation tools for algorithm development

There are more than ten PRACTICAL SESSIONS through the workshop;

  • Sampling and quantisation
  • Discrete Fourier transform/Fast Fourier transform and spectrum analysis
  • IIR filter design
  • FIR filter design
  • Filter realisation and word length effects
  • Image processing applications
  • Adaptive filtering applications
  • DSP development process
  • DTMF encoding and decoding
  • Spectrum analyser

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