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Emerging Machine Learning Techniques in Signal Processing

  1. Research Article

    Adaptive Reference Levels in a Level-Crossing Analog-to-Digital Converter

    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...

    Karen M. Guan, Suleyman S. Kozat and Andrew C. Singer

    EURASIP Journal on Advances in Signal Processing 2008 2008:513706

    Published on: 14 July 2008

  2. Research Article

    Digital Communication Receivers Using Gaussian Processes for Machine Learning

    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 ...

    Fernando Pérez-Cruz and Juan José Murillo-Fuentes

    EURASIP Journal on Advances in Signal Processing 2008 2008:491503

    Published on: 2 June 2008

  3. Research Article

    Note Onset Detection via Nonnegative Factorization of Magnitude Spectrum

    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...

    Wenwu Wang, Yuhui Luo, Jonathon A. Chambers and Saeid Sanei

    EURASIP Journal on Advances in Signal Processing 2008 2008:231367

    Published on: 21 May 2008

  4. Research Article

    One-Class SVMs Challenges in Audio Detection and Classification Applications

    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...

    Asma Rabaoui, Hachem Kadri, Zied Lachiri and Noureddine Ellouze

    EURASIP Journal on Advances in Signal Processing 2008 2008:834973

    Published on: 19 May 2008

  5. Research Article

    Extraction of Desired Signal Based on AR Model with Its Application to Atrial Activity Estimation in Atrial Fibrillation

    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...

    Gang Wang, Ni-ni Rao, Simon J. Shepherd and Clive B. Beggs

    EURASIP Journal on Advances in Signal Processing 2008 2008:728409

    Published on: 15 May 2008

  6. Research Article

    Boosted and Linked Mixtures of HMMs for Brain-Machine Interfaces

    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),...

    Shalom Darmanjian and Jose C. Principe

    EURASIP Journal on Advances in Signal Processing 2008 2008:216453

    Published on: 6 May 2008

  7. Research Article

    Sequential and Adaptive Learning Algorithms for M-Estimation

    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...

    Guang Deng

    EURASIP Journal on Advances in Signal Processing 2008 2008:459586

    Published on: 8 April 2008

  8. Research Article

    Sparse Deconvolution Using Support Vector Machines

    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 ...

    JoséLuis Rojo-Álvarez, Manel Martínez-Ramón, Jordi Muñoz-Marí, Gustavo Camps-Valls, Carlos M. Cruz and Aníbal R. Figueiras-Vidal

    EURASIP Journal on Advances in Signal Processing 2008 2008:816507

    Published on: 3 April 2008

  9. Research Article

    Decision Aggregation in Distributed Classification by a Transductive Extension of Maximum Entropy/Improved Iterative Scaling

    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...

    David J. Miller, Yanxin Zhang and George Kesidis

    EURASIP Journal on Advances in Signal Processing 2008 2008:674974

    Published on: 24 March 2008

  10. Research Article

    Kernel Affine Projection Algorithms

    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...

    Weifeng Liu and José C. Príncipe

    EURASIP Journal on Advances in Signal Processing 2008 2008:784292

    Published on: 12 March 2008

  11. Research Article

    Estimating VDT Mental Fatigue Using Multichannel Linear Descriptors and KPCA-HMM

    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)...

    Chong Zhang, Chongxun Zheng, Xiaolin Yu and Yi Ouyang

    EURASIP Journal on Advances in Signal Processing 2008 2008:185638

    Published on: 6 March 2008

  12. Research Article

    Complex-Valued Adaptive Signal Processing Using Nonlinear Functions

    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...

    Hualiang Li and Tülay Adalı

    EURASIP Journal on Advances in Signal Processing 2008 2008:765615

    Published on: 25 February 2008

  13. Research Article

    Adaptive Kernel Canonical Correlation Analysis Algorithms for Nonparametric Identification of Wiener and Hammerstein Systems

    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...

    Steven Van Vaerenbergh, Javier Vía and Ignacio Santamaría

    EURASIP Journal on Advances in Signal Processing 2008 2008:875351

    Published on: 24 February 2008