Time–frequency analysis

Results: 322



#Item
11A HIGHLY OPTIMIZED METHOD FOR COMPUTING AMPLITUDES OVER A WINDOWED SHORT TIME SIGNAL : FROM O(K 2 N ) TO O(N log(N )) Wim D’haes Visionlab – University of Antwerp (UA) – Groenenborgerlaan 171 · 2020 Antwerp · Bel

A HIGHLY OPTIMIZED METHOD FOR COMPUTING AMPLITUDES OVER A WINDOWED SHORT TIME SIGNAL : FROM O(K 2 N ) TO O(N log(N )) Wim D’haes Visionlab – University of Antwerp (UA) – Groenenborgerlaan 171 · 2020 Antwerp · Bel

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Source URL: www.mp3-tech.org

Language: English - Date: 2009-06-28 10:57:41
12Time-frequency characterization of the U.S. financial cycle

Time-frequency characterization of the U.S. financial cycle

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Source URL: www.suomenpankki.fi

Language: English - Date: 2016-05-23 09:09:43
13A Time-Reversed Reciprocal Method for Detecting High-Frequency Events in Civil Structures with Accelerometer Arrays Monica D. Kohler1, Thomas H. Heaton2, and Vanessa M. Heckman2 1  Center for Embedded Networked Sensing,

A Time-Reversed Reciprocal Method for Detecting High-Frequency Events in Civil Structures with Accelerometer Arrays Monica D. Kohler1, Thomas H. Heaton2, and Vanessa M. Heckman2 1 Center for Embedded Networked Sensing,

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Source URL: goldengate.ce.caltech.edu

Language: English - Date: 2011-03-10 18:06:44
14Heart Rate Estimation in Photoplethysmogram Signals using Nonlinear Model-Based Preprocessing Federico Wadehn1 , Yue Zhao2 , Hans-Andrea Loeliger 1 1  Signal and Information Processing Laboratory, Department of Electrica

Heart Rate Estimation in Photoplethysmogram Signals using Nonlinear Model-Based Preprocessing Federico Wadehn1 , Yue Zhao2 , Hans-Andrea Loeliger 1 1 Signal and Information Processing Laboratory, Department of Electrica

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Source URL: www.cinc.org

Language: English - Date: 2016-01-20 09:33:28
15Combined GPS, BeiDou, Galileo, and QZSS Single-Epoch, Single-Frequency RTK Performance Analysis Robert Odolinski, Peter J.G. Teunissen, and Dennis Odijk  Abstract

Combined GPS, BeiDou, Galileo, and QZSS Single-Epoch, Single-Frequency RTK Performance Analysis Robert Odolinski, Peter J.G. Teunissen, and Dennis Odijk Abstract

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Source URL: gnss.curtin.edu.au

Language: English - Date: 2016-06-14 03:16:24
16Waves Wavelets Fractals Adv. Anal. 2015; 1:17–21  Research Article Open Access

Waves Wavelets Fractals Adv. Anal. 2015; 1:17–21 Research Article Open Access

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Source URL: www.inesc-id.pt

Language: English - Date: 2016-01-27 04:41:30
17A Fourier-Mellin based Equalization Technique for Wideband Linear Time Varying Channels Manzil Zaheer, Anup K. Gogoi Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, INDIA ma

A Fourier-Mellin based Equalization Technique for Wideband Linear Time Varying Channels Manzil Zaheer, Anup K. Gogoi Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, INDIA ma

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Source URL: manzil.ml

Language: English - Date: 2016-01-03 02:26:15
18Frames in Hilbert C*-modules and stabilization theorems M. Frank, joint work with David R. LarsonESI12 - Modern Methods of Time-Frequency Analysis II Wien, Nov 19-21, 2012

Frames in Hilbert C*-modules and stabilization theorems M. Frank, joint work with David R. LarsonESI12 - Modern Methods of Time-Frequency Analysis II Wien, Nov 19-21, 2012

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Source URL: www.imn.htwk-leipzig.de

Language: English - Date: 2012-11-25 05:07:48
    19Introduction 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
    20Introduction to Time Series Analysis. LectureReview: Spectral distribution function, spectral density. 2. Rational spectra. Poles and zeros. 3. Examples. 4. Time-invariant linear filters 5. Frequency response

    Introduction to Time Series Analysis. LectureReview: Spectral distribution function, spectral density. 2. Rational spectra. Poles and zeros. 3. Examples. 4. Time-invariant linear filters 5. Frequency response

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    Source URL: www.stat.berkeley.edu

    Language: English