Signal processing

Results: 8666



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1Distributed Computing Prof. R. Wattenhofer Audio Source Separation with Deep Learning Source separation is an established research field in signal processing. Most people have

Distributed Computing Prof. R. Wattenhofer Audio Source Separation with Deep Learning Source separation is an established research field in signal processing. Most people have

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Source URL: www.tik.ee.ethz.ch

Language: English - Date: 2018-09-09 08:11:39
2Natural Scenes, Vision and Wavelets Nick Kingsbury Signal Processing and Communications Laboratory Department of Engineering, University of Cambridge, UK. email:

Natural Scenes, Vision and Wavelets Nick Kingsbury Signal Processing and Communications Laboratory Department of Engineering, University of Cambridge, UK. email:

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Source URL: www-sigproc.eng.cam.ac.uk

Language: English - Date: 2013-08-05 16:34:47
    3VIDEO TRACKING USING DUAL-TREE WAVELET POLAR MATCHING AND PARTICLE FILTERING S. K. Pang, J. D. B. Nelson, S. J. Godsill, and N. G. Kingsbury University of Cambridge Signal Processing and Communications Laboratory CUED, T

    VIDEO TRACKING USING DUAL-TREE WAVELET POLAR MATCHING AND PARTICLE FILTERING S. K. Pang, J. D. B. Nelson, S. J. Godsill, and N. G. Kingsbury University of Cambridge Signal Processing and Communications Laboratory CUED, T

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    Source URL: www-sigproc.eng.cam.ac.uk

    Language: English - Date: 2013-08-05 16:30:38
      4IEEE SIGNAL PROCESSING LETTERS, VOL. 10, NO. 1, JANUARYGeneralized Encoding and Decoding Functions for a Cylindrical Ambisonic Sound System

      IEEE SIGNAL PROCESSING LETTERS, VOL. 10, NO. 1, JANUARYGeneralized Encoding and Decoding Functions for a Cylindrical Ambisonic Sound System

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      Source URL: decoy.iki.fi

      Language: English - Date: 2017-03-10 14:23:50
        5Dual-Tree Complex Wavelets - their key properties and a range of image-processing applications Nick Kingsbury Signal Processing and Communications Laboratory Department of Engineering, University of Cambridge, UK. email:

        Dual-Tree Complex Wavelets - their key properties and a range of image-processing applications Nick Kingsbury Signal Processing and Communications Laboratory Department of Engineering, University of Cambridge, UK. email:

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        Source URL: sigproc.eng.cam.ac.uk

        Language: English - Date: 2013-08-05 16:06:17
          63990 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 58, NO. 8, AUGUST 2010 Compressed Sensing Performance Bounds Under Poisson Noise

          3990 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 58, NO. 8, AUGUST 2010 Compressed Sensing Performance Bounds Under Poisson Noise

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          Source URL: maxim.ece.illinois.edu

          Language: English - Date: 2012-04-18 12:07:58
            7DUAL TREE COMPLEX WAVELETS Part 2 Nick Kingsbury Signal Processing Group, Dept. of Engineering University of Cambridge, Cambridge CB2 1PZ, UK.

            DUAL TREE COMPLEX WAVELETS Part 2 Nick Kingsbury Signal Processing Group, Dept. of Engineering University of Cambridge, Cambridge CB2 1PZ, UK.

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            Source URL: sigproc.eng.cam.ac.uk

            Language: English - Date: 2013-08-05 16:08:16
              8BAYESIAN MODELS FOR DNA SEQUENCING Nicholas M. Haan and Simon J. Godsill Signal Processing Group Department of Engineering, University of Cambridge, U.K. , ABSTRACT

              BAYESIAN MODELS FOR DNA SEQUENCING Nicholas M. Haan and Simon J. Godsill Signal Processing Group Department of Engineering, University of Cambridge, U.K. , ABSTRACT

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              Source URL: sigproc.eng.cam.ac.uk

              Language: English - Date: 2013-08-15 10:37:49
                9ROTATION-INVARIANT LOCAL FEATURE MATCHING WITH COMPLEX WAVELETS Nick Kingsbury Signal Processing Group, Dept. of Engineering, University of Cambridge, Cambridge, CB2 1PZ, U.K. phone: + (email:

                ROTATION-INVARIANT LOCAL FEATURE MATCHING WITH COMPLEX WAVELETS Nick Kingsbury Signal Processing Group, Dept. of Engineering, University of Cambridge, Cambridge, CB2 1PZ, U.K. phone: + (email:

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                Source URL: sigproc.eng.cam.ac.uk

                Language: English - Date: 2013-08-05 16:13:55
                  102014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP) MULTIMODAL VOICE CONVERSION USING NON-NEGATIVE MATRIX FACTORIZATION IN NOISY ENVIRONMENTS Kenta MASAKA, Ryo AIHARA, Tetsuya TAKIGUCHI

                  2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP) MULTIMODAL VOICE CONVERSION USING NON-NEGATIVE MATRIX FACTORIZATION IN NOISY ENVIRONMENTS Kenta MASAKA, Ryo AIHARA, Tetsuya TAKIGUCHI

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                  Source URL: www.me.cs.scitec.kobe-u.ac.jp

                  Language: English - Date: 2018-02-04 05:47:18