Signal processing

Results: 8666



#Item
91Automated Scour Detection Arrays using Bio-Inspired Magnetostrictive Flow Sensors Deliverable 8A Report: Signal Processing for Scour Detection March 12, 2015

Automated Scour Detection Arrays using Bio-Inspired Magnetostrictive Flow Sensors Deliverable 8A Report: Signal Processing for Scour Detection March 12, 2015

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Source URL: mtri.org

- Date: 2015-04-15 15:30:30
    92. SPARSE INVERSE SOLUTION METHODS FOR SIGNAL AND IMAGE PROCESSING APPLICATIONS Brian D. J e f s * Department of Electrical and Computer Engineering

    . SPARSE INVERSE SOLUTION METHODS FOR SIGNAL AND IMAGE PROCESSING APPLICATIONS Brian D. J e f s * Department of Electrical and Computer Engineering

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    Source URL: www.et.byu.edu

    - Date: 2009-10-14 12:22:26
      931 R.W. Hartenstein, A.G. Hirschbiel, M. Riedmuller, K. Schmidt, M.Weber: Automatic Synthesis of Cheap Hardware Accelerators for Signal Processing and Image Preprocessing; 12. DAGM-Symposium Mustererkennung, 1990, Oberko

      1 R.W. Hartenstein, A.G. Hirschbiel, M. Riedmuller, K. Schmidt, M.Weber: Automatic Synthesis of Cheap Hardware Accelerators for Signal Processing and Image Preprocessing; 12. DAGM-Symposium Mustererkennung, 1990, Oberko

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      Source URL: www.fpl.uni-kl.de

      - Date: 2012-03-17 08:32:52
        94IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 58, NO. 9, SEPTEMBERModified-CS: Modifying Compressive Sensing for Problems With Partially Known Support

        IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 58, NO. 9, SEPTEMBERModified-CS: Modifying Compressive Sensing for Problems With Partially Known Support

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        Source URL: www.ece.iastate.edu

        - Date: 2010-08-30 18:13:07
          952016 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, SEPT. 13–16, 2016, SALERNO, ITALY SCORE-MATCHING ESTIMATORS FOR CONTINUOUS-TIME POINT-PROCESS REGRESSION MODELS Maneesh Sahani, Gerg˝o Bohne

          2016 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, SEPT. 13–16, 2016, SALERNO, ITALY SCORE-MATCHING ESTIMATORS FOR CONTINUOUS-TIME POINT-PROCESS REGRESSION MODELS Maneesh Sahani, Gerg˝o Bohne

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          Source URL: www.gatsby.ucl.ac.uk

          - Date: 2016-08-10 04:42:04
            96  COST  Action  TU1208     Advanced  Ground  Penetrating  Radar  Signal  Processing  Techniques   Special  Issue  of  the  Elsevier  Journal  “Signal  Processing”

              COST  Action  TU1208     Advanced  Ground  Penetrating  Radar  Signal  Processing  Techniques   Special  Issue  of  the  Elsevier  Journal  “Signal  Processing”

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            Source URL: gpradar.eu

            - Date: 2015-09-11 14:06:09
              972017 Newly Elevated Fellows Raviraj Adve University of Toronto Toronto, ON, Canada for development of signal processing techniques for airborne radar Sos Agaian

              2017 Newly Elevated Fellows Raviraj Adve University of Toronto Toronto, ON, Canada for development of signal processing techniques for airborne radar Sos Agaian

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              Source URL: www.ieee.org

                98IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 58, NO. 1, JANUARYBayesian Compressive Sensing Via Belief Propagation

                IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 58, NO. 1, JANUARYBayesian Compressive Sensing Via Belief Propagation

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                Source URL: people.engr.ncsu.edu

                - Date: 2010-01-28 17:59:38
                  99A MRF Model Based Scheme for Accurate Detection and Adaptive Interpolation of Missing Data in Highly Corrupted Image Sequences Showbhik Kaka*, Dilip Krishnan* and M. N. Chong’ *Centrefor Signal Processing Nanyang Techn

                  A MRF Model Based Scheme for Accurate Detection and Adaptive Interpolation of Missing Data in Highly Corrupted Image Sequences Showbhik Kaka*, Dilip Krishnan* and M. N. Chong’ *Centrefor Signal Processing Nanyang Techn

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                  Source URL: cs.nyu.edu

                  - Date: 2009-04-16 15:50:12
                    100OPTIMIZING INTERCONNECTION COMPLEXITY FOR REALIZING FIXED PERMUTATION IN DATA AND SIGNAL PROCESSING ALGORITHMS∗ Ren Chen and Viktor K. Prasanna Ming Hsieh Department of Electrical Engineering University of Southern Cal

                    OPTIMIZING INTERCONNECTION COMPLEXITY FOR REALIZING FIXED PERMUTATION IN DATA AND SIGNAL PROCESSING ALGORITHMS∗ Ren Chen and Viktor K. Prasanna Ming Hsieh Department of Electrical Engineering University of Southern Cal

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                    Source URL: ganges.usc.edu

                    - Date: 2016-11-19 16:13:58