Skip to content

Advertisement

Emerging Machine Learning Techniques in Signal Processing

  1. Content type: Research Article

    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

    Published on:

  2. Content type: Research Article

    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

    Published on:

  3. Content type: Research Article

    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

    Published on:

  4. Content type: Research Article

    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

    Published on:

  5. Content type: Research Article

    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

    Published on:

  6. Content type: Research Article

    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

    Published on:

  7. Content type: Research Article

    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

    Published on:

  8. Content type: Research Article

    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

    Published on:

  9. Content type: Research Article

    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

    Published on:

  10. Content type: Research Article

    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

    Published on:

  11. Content type: Research Article

    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

    Published on:

  12. Content type: Research Article

    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

    Published on:

  13. Content type: Research Article

    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

    Published on:

  14. Content type: Research Article

    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

    Published on: