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Advances in Subspace-Based Techniques for Signal Processing and Communications

  1. Research Article

    Subspace-Based Algorithms for Structural Identification, Damage Detection, and Sensor Data Fusion

    This paper reports on the theory and practice of covariance-driven output-only and input/output subspace-based identification and detection algorithms. The motivating and investigated application domain is vib...

    Michèle Basseville, Albert Benveniste, Maurice Goursat and Laurent Mevel

    EURASIP Journal on Advances in Signal Processing 2006 2007:069136

    Published on: 16 October 2006

  2. Research Article

    Model Order Selection for Short Data: An Exponential Fitting Test (EFT)

    High-resolution methods for estimating signal processing parameters such as bearing angles in array processing or frequencies in spectral analysis may be hampered by the model order if poorly selected. As clas...

    Angela Quinlan, Jean-Pierre Barbot, Pascal Larzabal and Martin Haardt

    EURASIP Journal on Advances in Signal Processing 2006 2007:071953

    Published on: 4 October 2006

  3. Research Article

    Tracking Signal Subspace Invariance for Blind Separation and Classification of Nonorthogonal Sources in Correlated Noise

    We investigate a new approach for the problem of source separation in correlated multichannel signal and noise environments. The framework targets the specific case when nonstationary correlated signal sources...

    Karim G. Oweiss and David J. Anderson

    EURASIP Journal on Advances in Signal Processing 2006 2007:037485

    Published on: 18 September 2006

  4. Research Article

    Performance Analysis of Blind Subspace-Based Signature Estimation Algorithms for DS-CDMA Systems with Unknown Correlated Noise

    We analyze the performance of two popular blind subspace-based signature waveform estimation techniques proposed by Wang and Poor and Buzzi and Poor for direct-sequence code division multiple-access (DS-CDMA) ...

    Keyvan Zarifi and Alex B. Gershman

    EURASIP Journal on Advances in Signal Processing 2006 2007:083863

    Published on: 18 September 2006

  5. Research Article

    New Approaches for Channel Prediction Based on Sinusoidal Modeling

    Long-range channel prediction is considered to be one of the most important enabling technologies to future wireless communication systems. The prediction of Rayleigh fading channels is studied in the frame of...

    Ming Chen, Torbjörn Ekman and Mats Viberg

    EURASIP Journal on Advances in Signal Processing 2006 2007:049393

    Published on: 7 September 2006

  6. Research Article

    Generalized Broadband Beamforming Using a Modal Subspace Decomposition

    We propose a new broadband beamformer design technique which produces an optimal receiver beam pattern for any set of field measurements in space and time. The modal subspace decomposition (MSD) technique is b...

    Michael I. Y. Williams, Thushara D. Abhayapala and Rodney A. Kennedy

    EURASIP Journal on Advances in Signal Processing 2006 2007:068291

    Published on: 5 September 2006

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