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  1. Research

    Projective complex matrix factorization for facial expression recognition

    In this paper, a dimensionality reduction method applied on facial expression recognition is investigated. An unsupervised learning framework, projective complex matrix factorization (proCMF), is introduced to...

    Viet-Hang Duong, Yuan-Shan Lee, Jian-Jiun Ding, Bach-Tung Pham, Manh-Quan Bui, Pham The Bao and Jia-Ching Wang

    EURASIP Journal on Advances in Signal Processing 2018 2018:10

    Published on: 2 February 2018

  2. Research

    Online sequential Monte Carlo smoother for partially observed diffusion processes

    This paper introduces a new algorithm to approximate smoothed additive functionals of partially observed diffusion processes. This method relies on a new sequential Monte Carlo method which allows to compute s...

    Pierre Gloaguen, Marie-Pierre Étienne and Sylvain Le Corff

    EURASIP Journal on Advances in Signal Processing 2018 2018:9

    Published on: 2 February 2018

  3. Research

    Superimposed signaling inspired channel estimation in full-duplex systems

    Residual self-interference (SI) cancellation in the digital baseband is an important problem in full-duplex (FD) communication systems. In this paper, we propose a new technique for estimating the SI and commu...

    Abbas Koohian, Hani Mehrpouyan, Ali A. Nasir, Salman Durrani and Steven D. Blostein

    EURASIP Journal on Advances in Signal Processing 2018 2018:8

    Published on: 24 January 2018

  4. Research

    Using discretization for extending the set of predictive features

    To date, attribute discretization is typically performed by replacing the original set of continuous features with a transposed set of discrete ones. This paper provides support for a new idea that discretized...

    Avi Rosenfeld, Ron Illuz, Dovid Gottesman and Mark Last

    EURASIP Journal on Advances in Signal Processing 2018 2018:7

    Published on: 18 January 2018

  5. Research

    Blind sequential detection for sparse ISI channels

    We present a computationally efficient blind sequential detection method for data transmitted over a sparse intersymbol interference channel. Unlike blind sequential detection methods designed for general chan...

    Weiwei Zhou and Jill K. Nelson

    EURASIP Journal on Advances in Signal Processing 2018 2018:6

    Published on: 16 January 2018

  6. Research

    Adaptive independent sticky MCMC algorithms

    Monte Carlo methods have become essential tools to solve complex Bayesian inference problems in different fields, such as computational statistics, machine learning, and statistical signal processing. In this ...

    Luca Martino, Roberto Casarin, Fabrizio Leisen and David Luengo

    EURASIP Journal on Advances in Signal Processing 2018 2018:5

    Published on: 11 January 2018

  7. Research

    Paramorphic multicarrier communications for interference mitigation

    This paper presents a novel method for enabling communication in cyclostationary interference limited environments by adaptively inserting and exploiting spectral redundancy in an orthogonal frequency division...

    Matt Carrick, Jeffrey H. Reed and Chad M. Spooner

    EURASIP Journal on Advances in Signal Processing 2018 2018:1

    Published on: 5 January 2018

  8. Correction

    Correction to: Two-way DF relaying assisted D2D communication: ergodic rate and power allocation

    Unfortunately, the original version of this article [1] contained an error. The affiliation of Yiyang Ni and Yuxi Wang was incorrect. The correct affiliation is Jiangsu Second Normal University and is presente...

    Yiyang Ni, Yuxi Wang, Shi Jin, Kai-Kit Wong and Hongbo Zhu

    EURASIP Journal on Advances in Signal Processing 2018 2018:2

    Published on: 5 January 2018

    The original article was published in EURASIP Journal on Advances in Signal Processing 2017 2017:40

  9. Research

    A novel method for the detection of R-peaks in ECG based on K-Nearest Neighbors and Particle Swarm Optimization

    Cardiovascular diseases are associated with high morbidity and mortality. However, it is still a challenge to diagnose them accurately and efficiently. Electrocardiogram (ECG), a bioelectrical signal of the he...

    Runnan He, Kuanquan Wang, Qince Li, Yongfeng Yuan, Na Zhao, Yang Liu and Henggui Zhang

    EURASIP Journal on Advances in Signal Processing 2017 2017:82

    Published on: 15 December 2017

  10. Research

    A reverberation-time-aware DNN approach leveraging spatial information for microphone array dereverberation

    A reverberation-time-aware deep-neural-network (DNN)-based multi-channel speech dereverberation framework is proposed to handle a wide range of reverberation times (RT60s). There are three key steps in designi...

    Bo Wu, Minglei Yang, Kehuang Li, Zhen Huang, Sabato Marco Siniscalchi, Tong Wang and Chin-Hui Lee

    EURASIP Journal on Advances in Signal Processing 2017 2017:81

    Published on: 6 December 2017

  11. Research

    Evaluation of a speaker identification system with and without fusion using three databases in the presence of noise and handset effects

    In this study, a speaker identification system is considered consisting of a feature extraction stage which utilizes both power normalized cepstral coefficients (PNCCs) and Mel frequency cepstral coefficients ...

    Musab T. S. Al-Kaltakchi, Wai L. Woo, Satnam Dlay and Jonathon A. Chambers

    EURASIP Journal on Advances in Signal Processing 2017 2017:80

    Published on: 2 December 2017

  12. Research

    Bayesian fault detection and isolation using Field Kalman Filter

    Fault detection and isolation is crucial for the efficient operation and safety of any industrial process. There is a variety of methods from all areas of data analysis employed to solve this kind of task, suc...

    Jerzy Baranowski, Piotr Bania, Indrajeet Prasad and Tian Cong

    EURASIP Journal on Advances in Signal Processing 2017 2017:79

    Published on: 28 November 2017

  13. Research

    A RSSI-based parameter tracking strategy for constrained position localization

    In this paper, a received signal strength indicator (RSSI)-based parameter tracking strategy for constrained position localization is proposed. To estimate channel model parameters, least mean squares method (...

    Jinze Du, Jean-François Diouris and Yide Wang

    EURASIP Journal on Advances in Signal Processing 2017 2017:77

    Published on: 9 November 2017

  14. Research

    Intelligent assistant carer for active aging

    We present the concept of an Intelligent Assistant Carer system for the elderly, designed to help with active aging and to facilitate the interactions with carers. The system is modular, allowing the users to ...

    Jani Bizjak, Anton Gradišek, Luka Stepančič, Hristijan Gjoreski and Matjaž Gams

    EURASIP Journal on Advances in Signal Processing 2017 2017:76

    Published on: 2 November 2017

  15. Research

    A novel segmentation method for uneven lighting image with noise injection based on non-local spatial information and intuitionistic fuzzy entropy

    Local thresholding methods for uneven lighting image segmentation always have the limitations that they are very sensitive to noise injection and that the performance relies largely upon the choice of the init...

    Haiyan Yu and Jiulun Fan

    EURASIP Journal on Advances in Signal Processing 2017 2017:74

    Published on: 27 October 2017

  16. Research

    On the robustness of set-membership adaptive filtering algorithms

    In this paper, we address the robustness, in the sense of l 2-stability, of the set-membership normalized least-mean-square (SM-NLMS) and the set-membership affine projection (SM-AP) algor...

    Hamed Yazdanpanah, Markus V. S. Lima and Paulo S. R. Diniz

    EURASIP Journal on Advances in Signal Processing 2017 2017:72

    Published on: 19 October 2017

  17. Research

    MapReduce particle filtering with exact resampling and deterministic runtime

    Particle filtering is a numerical Bayesian technique that has great potential for solving sequential estimation problems involving non-linear and non-Gaussian models. Since the estimation accuracy achieved by ...

    Jeyarajan Thiyagalingam, Lykourgos Kekempanos and Simon Maskell

    EURASIP Journal on Advances in Signal Processing 2017 2017:71

    Published on: 18 October 2017

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