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Emerging Machine Learning Techniques in Signal Processing

  2. Level-crossing analog-to-digital converters (LC ADCs) have been considered in the literature and have been shown to efficiently sample certain classes of signals. One important aspect of their implementation i...

    Authors: Karen M. Guan, Suleyman S. Kozat and Andrew C. Singer
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:513706
    Content type: Research Article Published on:

  3. We propose Gaussian processes (GPs) as a novel nonlinear receiver for digital communication systems. The GPs framework can be used to solve both classification (GPC) and regression (GPR) problems. The minimum ...

    Authors: Fernando Pérez-Cruz and Juan José Murillo-Fuentes
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:491503
    Content type: Research Article Published on:

  4. A novel approach for onset detection of musical notes from audio signals is presented. In contrast to most commonly used conventional approaches, the proposed method features new detection functions constructe...

    Authors: Wenwu Wang, Yuhui Luo, Jonathon A. Chambers and Saeid Sanei
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:231367
    Content type: Research Article Published on:

  5. Support vector machines (SVMs) have gained great attention and have been used extensively and successfully in the field of sounds (events) recognition. However, the extension of SVMs to real-world signal proce...

    Authors: Asma Rabaoui, Hachem Kadri, Zied Lachiri and Noureddine Ellouze
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:834973
    Content type: Research Article Published on:

  6. The use of electrocardiograms (ECGs) to diagnose and analyse atrial fibrillation (AF) has received much attention recently. When studying AF, it is important to isolate the atrial activity (AA) component of th...

    Authors: Gang Wang, Ni-ni Rao, Simon J. Shepherd and Clive B. Beggs
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:728409
    Content type: Research Article Published on:

  7. We propose two algorithms that decompose the joint likelihood of observing multidimensional neural input data into marginal likelihoods. The first algorithm, boosted mixtures of hidden Markov chains (BMs-HMM),...

    Authors: Shalom Darmanjian and Jose C. Principe
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:216453
    Content type: Research Article Published on:

  8. The M-estimate of a linear observation model has many important engineering applications such as identifying a linear system under non-Gaussian noise. Batch algorithms based on the EM algorithm or the iterativ...

    Authors: Guang Deng
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:459586
    Content type: Research Article Published on:

  9. Sparse deconvolution is a classical subject in digital signal processing, having many practical applications. Support vector machine (SVM) algorithms show a series of characteristics, such as sparse solutions ...

    Authors: JoséLuis Rojo-Álvarez, Manel Martínez-Ramón, Jordi Muñoz-Marí, Gustavo Camps-Valls, Carlos M. Cruz and Aníbal R. Figueiras-Vidal
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:816507
    Content type: Research Article Published on:

  10. Very recently, a solution to the kernel-based online classification problem has been given by the adaptive projected subgradient method (APSM). The developed algorithm can be considered as a generalization of ...

    Authors: Konstantinos Slavakis and Sergios Theodoridis
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:735351
    Content type: Research Article Published on:

  11. In many ensemble classification paradigms, the function which combines local/base classifier decisions is learned in a supervised fashion. Such methods require common labeled training examples across the class...

    Authors: David J. Miller, Yanxin Zhang and George Kesidis
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:674974
    Content type: Research Article Published on:

  12. The combination of the famed kernel trick and affine projection algorithms (APAs) yields powerful nonlinear extensions, named collectively here, KAPA. This paper is a follow-up study of the recently introduced...

    Authors: Weifeng Liu and José C. Príncipe
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:784292
    Content type: Research Article Published on:

  13. The impacts of prolonged visual display terminal (VDT) work on central nervous system and autonomic nervous system are observed and analyzed based on electroencephalogram (EEG) and heart rate variability (HRV)...

    Authors: Chong Zhang, Chongxun Zheng, Xiaolin Yu and Yi Ouyang
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:185638
    Content type: Research Article Published on:

  14. We describe a framework based on Wirtinger calculus for adaptive signal processing that enables efficient derivation of algorithms by directly working in the complex domain and taking full advantage of the pow...

    Authors: Hualiang Li and Tülay Adalı
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:765615
    Content type: Research Article Published on:

  15. This paper treats the identification of nonlinear systems that consist of a cascade of a linear channel and a nonlinearity, such as the well-known Wiener and Hammerstein systems. In particular, we follow a sup...

    Authors: Steven Van Vaerenbergh, Javier Vía and Ignacio Santamaría
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:875351
    Content type: Research Article Published on: