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  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. Research

    Categorization of species based on their microRNAs employing sequence motifs, information-theoretic sequence feature extraction, and k-mers

    Diseases like cancer can manifest themselves through changes in protein abundance, and microRNAs (miRNAs) play a key role in the modulation of protein quantity. MicroRNAs are used throughout all kingdoms and h...

    Malik Yousef, Dawit Nigatu, Dalit Levy, Jens Allmer and Werner Henkel

    EURASIP Journal on Advances in Signal Processing 2017 2017:70

    Published on: 13 October 2017

  14. Research

    UWB pulse detection and TOA estimation using GLRT

    In this paper, a novel statistical approach is presented for time-of-arrival (TOA) estimation based on first path (FP) pulse detection using a sub-Nyquist sampling ultra-wide band (UWB) receiver. The TOA measu...

    Yan Xie, Gerard J.M. Janssen, Siavash Shakeri and Christiaan C.J.M. Tiberius

    EURASIP Journal on Advances in Signal Processing 2017 2017:68

    Published on: 19 September 2017

  15. Research

    An adaptive dynamically weighted median filter for impulse noise removal

    A new impulsive noise removal filter, adaptive dynamically weighted median filter (ADWMF), is proposed. A popular method for removing impulsive noise is a median filter whereas the weighted median filter and c...

    Sajid Khan and Dong-Ho Lee

    EURASIP Journal on Advances in Signal Processing 2017 2017:67

    Published on: 18 September 2017

  16. Research

    Approximate equiangular tight frames for compressed sensing and CDMA applications

    Performance guarantees for recovery algorithms employed in sparse representations, and compressed sensing highlights the importance of incoherence. Optimal bounds of incoherence are attained by equiangular uni...

    Evaggelia Tsiligianni, Lisimachos P. Kondi and Aggelos K. Katsaggelos

    EURASIP Journal on Advances in Signal Processing 2017 2017:66

    Published on: 15 September 2017

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