Lockheed Martin Australia - Future Submarine - Novel methods to integrate compressive sensing techniques
Tender ID: 393235
Tender Details
Tender Description
Nyquist-Shannon sampling theorem for digital signal processing requires the sampling rate to be at least two times the signal bandwidth to enable perfect reconstruction, however this is limited by the maximum sampling rate of ADC's and leads to large data rates and storage requirements particularly for multiple channel systems. 'Compressed Sensing' or 'Compressive Sensing' contradicts the traditional approaches using novel signal processing techniques which enable acquisition and reconstruction of signals by exploiting signal sparsity using incoherent sampling. This allows signals to be reconstructed from lower sampling rates than Nyquist.
The R&D Topic would investigate novel signal analysis methods to integrate compressive sensing techniques.
R&D deliverable will include a report comprising a detailed literature review of the relevant areas and methods; identification and evaluation of appropriate models and methods; a detailed plan proposing future research; and identification of suitable measures of effectiveness and/or measures of performance to help quantify the value of the research.
Location
New South Wales : Central West : Far North Coast : Far West : Hunter : Illawarra : Mid North Coast : Murray : New England : Orana : Riverina : Southern Highlands : Sydney
Queensland : Cairns & Far North Queensland : Gladstone : Mackay Whitsunday Region : Mount Isa & North West Region : Rockhampton : South East Queensland : South West & Darling Downs : The Central West : Townsville : Wide Bay Burnett
Victoria : Barwon South West : Gippsland : Grampians : Hume : Loddon Mallee : Melbourne
South Australia : Adelaide : Eyre & Western : Far North : Fleurieu & Kangaroo Island : Limestone Coast : Murray & Mallee : York & Mid North
Northern Territory : Big Rivers : Central Australia : East Arnhem : Greater Darwin
Australian Capital Territory
Tasmania
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