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 Sanchez, Enrique (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)

Project Details

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

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • Comparison of Methods for Oscillation Detection: case study

    Odgaard, P. F. & Trangbæk, K., 2006, Proceedings of IFAC Symposium on Power Plants and Power Systems Control 2006. Pergamon Press, 6 p.

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    7 Citations (Scopus)
  • Fast Estimation of Optimal Sparseness of Music Signals

    la Cour-Harbo, A., 2006, Proceedings of SPRRA 2006. ACTA Press, 4 p.

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    File
    139 Downloads (Pure)
  • Fault Predictive Control of Compact Disk Players

    Odgaard, P. F. & Wickerhauser, M. V., 2006, Proceedings of 6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes. Pergamon Press, p. 1063-1068 6 p.

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review