Wavelets in Audio/Visual Electronic Systems

  • Stoustrup, Jakob (PI)
  • la Cour-Harbo, Anders (Project Participant)
  • Andersen, Palle (Project Participant)
  • Pedersen, Tom Søndergaard (Project Participant)
  • Odgaard, Peter Fogh, (Project Participant)
  • Vidal, Enrique Sanchez, (Project Participant)
  • Bendtsen, Jan Dimon (Project Participant)
  • Christensen, Henrik Vie, (Project Participant)
  • Endelt, Line Ørtoft, (Project Participant)
  • Borup, Lasse, (Project Participant)
  • Nielsen, Morten (Project Participant)
  • Hansen, Per Christian (Project Participant)
  • Christensen, Ole (Project Participant)
  • Søndergaard, Peter L. (Project Participant)
  • Skjølstrup, Carl Erik (Project Participant)
  • Verbraak, Ben (Project Participant)
  • Fløe Mikkelsen, Henrik (Project Participant)
  • Nissen, Palle A. (Project Participant)
  • Madsen, Oluf (Project Participant)
  • Thorsen, Per (Project Participant)

Description

WAVES is an extension and an expansion of a previous pilot project 'OPTOCTRL'. The key motivating technology for the present research program is the digital signal processor (DSP). The invention of the DSP and the development of a floating point DSP into a small component with a cost of less than $10, represents one of the greatest steps forwards ever for the consumer electronics industry (and many other industries). A signal processing algorithm or a feedback control system that few years ago involved layouts of huge boards of discrete digital components (or even analog circuits) with expensive manufacturing systems, now can be realized with a one time spending of a few man-months of software development. Even more significantly, signal processing methods and automatic control algorithms which seemed completely impractical just a few years ago, now already are beginning to be marketed. This development coincides with a recent breakthrough in mathematics and advanced signal analysis, namely the development of the wavelet transform and associated algorithms. In this work, two central features of these algorithms will be exploited: the ability to merge time and frequency analysis and the ability to tailor the signal analysis algorithms themselves to be optimal in a specific sense to the problem at hand.
AcronymWAVES
StatusFinished
Effective start/end date30/06/200701/09/2009

Funding

  • Danish Technical Research Foundation: DKK12,000,000.00

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Digital signal processors
Signal analysis
Signal processing
Plant layout
Consumer electronics
Electronics industry
Analog circuits
Patents and inventions
Wavelet transforms
Feedback control
Software engineering
Control systems
Costs
Industry