Signal Processing

Results: 8666



#Item
831Introduction to Time Series Analysis. Lecture 4. Peter Bartlett Last lecture: 1. Sample autocorrelation function 2. ACF and prediction 3. Properties of the ACF

Introduction to Time Series Analysis. Lecture 4. Peter Bartlett Last lecture: 1. Sample autocorrelation function 2. ACF and prediction 3. Properties of the ACF

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Source URL: www.stat.berkeley.edu

Language: English - Date: 2010-09-08 17:35:11
832719  PROCEEDINGS LETTERS terms involving one variable in an MV polynomial are fiied, the coefficients of the remaining terms in the polynomial are rigidly related to these, if the polynomial has to be separable.

719 PROCEEDINGS LETTERS terms involving one variable in an MV polynomial are fiied, the coefficients of the remaining terms in the polynomial are rigidly related to these, if the polynomial has to be separable.

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Source URL: www-isl.stanford.edu

Language: English - Date: 2006-03-27 15:21:34
833IEEE INTERNET OF THINGS JOURNAL A joint publication of IEEE Sensors Council, IEEE Communications Society, IEEE Computer Society, and IEEE Signal Processing Society CALL FOR PAPERS IEEE Internet of Things Journal Special

IEEE INTERNET OF THINGS JOURNAL A joint publication of IEEE Sensors Council, IEEE Communications Society, IEEE Computer Society, and IEEE Signal Processing Society CALL FOR PAPERS IEEE Internet of Things Journal Special

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Source URL: iot-journal.weebly.com

Language: English - Date: 2015-11-23 21:21:43
    834Model-based Approaches to Robust Speech Recognition in Diverse Environments Yongqiang Wang Darwin College Engineering Department Cambridge University

    Model-based Approaches to Robust Speech Recognition in Diverse Environments Yongqiang Wang Darwin College Engineering Department Cambridge University

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

    Language: English - Date: 2015-10-27 04:58:34
    835Introduction to Time Series Analysis. LectureReview: Spectral density estimation, sample autocovariance. 2. The periodogram and sample autocovariance. 3. Asymptotics of the periodogram.  1

    Introduction to Time Series Analysis. LectureReview: Spectral density estimation, sample autocovariance. 2. The periodogram and sample autocovariance. 3. Asymptotics of the periodogram. 1

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    Source URL: www.stat.berkeley.edu

    Language: English - Date: 2010-11-06 17:40:49
    836Compositional analysis of floating-point linear numerical filters David Monniaux ´ CNRS / Laboratoire d’informatique de l’Ecole normale sup´erieure

    Compositional analysis of floating-point linear numerical filters David Monniaux ´ CNRS / Laboratoire d’informatique de l’Ecole normale sup´erieure

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    Source URL: www-verimag.imag.fr

    Language: English - Date: 2007-10-18 09:45:20
    837ADAPTIVE SUPERRESOLUTION PHENOMENA IN ABERRANT ARRAYS Neil K. Jablon Bernard Widrow  Department of Electrical Engineering

    ADAPTIVE SUPERRESOLUTION PHENOMENA IN ABERRANT ARRAYS Neil K. Jablon Bernard Widrow Department of Electrical Engineering

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    Source URL: www-isl.stanford.edu

    Language: English - Date: 2008-03-08 02:01:22
    838Foundations of Distributed Signal Processing Michael C. Gastpar EPFL and University of California, Berkeley September 4, 2012

    Foundations of Distributed Signal Processing Michael C. Gastpar EPFL and University of California, Berkeley September 4, 2012

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    Source URL: www.mics.org

    Language: English - Date: 2012-09-03 03:19:50
    839IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 2, NO. 4, OCTOBERMultiscale Techniques for the Detection of Precipitation Using Thermal IR Satellite Images

    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 2, NO. 4, OCTOBERMultiscale Techniques for the Detection of Precipitation Using Thermal IR Satellite Images

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    Source URL: geostat.bordeaux.inria.fr

    Language: English - Date: 2016-02-18 11:56:19
    840Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning Yuhui Quan1 , Yan Huang2 , Hui Ji1 1 2

    Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning Yuhui Quan1 , Yan Huang2 , Hui Ji1 1 2

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    Source URL: www.cv-foundation.org

    Language: English