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  1. Content type: Research

    We consider the problem of sequential inference of latent time-series with innovations correlated in time and observed via nonlinear functions. We accommodate time-varying phenomena with diverse properties by ...

    Authors: Iñigo Urteaga, Mónica F. Bugallo and Petar M. Djurić

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:84

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  2. Content type: Research

    This paper presents a new time of arrival (TOA) estimation technique using an improved energy detection (ED) receiver based on the empirical mode decomposition (EMD) in an impulse radio (IR) 60 GHz millimeter ...

    Authors: Xiaolin Liang, Hao Zhang, Tingting Lyu, Han Xiao and T. Aaron Gulliver

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:83

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  3. Content type: Research

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:82

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  4. Content type: Research

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:81

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  5. Content type: Research

    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 ...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:80

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  6. Content type: Research

    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...

    Authors: Jerzy Baranowski, Piotr Bania, Indrajeet Prasad and Tian Cong

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:79

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  7. Content type: Research

    High-Efficiency Video Coding (HEVC) is the latest video coding standard, in which the compression performance is double that of its predecessor, the H.264/AVC standard, while the video quality remains unchange...

    Authors: Nghia Doan, Tae Sung Kim, Chae Eun Rhee and Hyuk-Jae Lee

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:78

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  8. Content type: Research

    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 ...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:76

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  9. Content type: Research

    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...

    Authors: Haiyan Yu and Jiulun Fan

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:74

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  10. Content type: Research

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:72

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  11. Content type: Research

    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 ...

    Authors: Jeyarajan Thiyagalingam, Lykourgos Kekempanos and Simon Maskell

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:71

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  12. Content type: Research

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:70

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  13. Content type: Research

    This paper is a theoretical analysis of the maximum likelihood (ML) channel estimator for orthogonal frequency-division multiplexing (OFDM) systems in the presence of unknown interference. The following theore...

    Authors: Azzouz Dermoune and Eric Pierre Simon

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:69

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  14. Content type: Research

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:68

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  15. Content type: Research

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:66

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  16. Content type: Research

    This paper deals with the problem of inferring the signals and parameters that cause neural activity to occur. The ultimate challenge being to unveil brain’s connectivity, here we focus on a microscopic vision...

    Authors: Pau Closas and Antoni Guillamon

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:65

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  17. Content type: Research

    In this paper, the problem of direction of arrival (DOA) estimation is considered in the case of multiple polarized signals impinging on the conformal electromagnetic vector-sensor array (CVA). We focus on mod...

    Authors: Tianzhen Meng, Minjie Wu and Naichang Yuan

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:64

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  18. Content type: Research

    Acoustic echo cancellation (AEC) is a key speech enhancement technology in speech communication and voice-enabled devices. AEC systems employ adaptive filters to estimate the acoustic echo paths between the lo...

    Authors: Naveen Kumar Desiraju, Simon Doclo and Tobias Wolff

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:63

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  19. Content type: Research

    Wideband sparse spectral estimation is generally formulated as a multi-dictionary/multi-measurement (MD/MM) problem which can be solved by using group sparsity techniques. In this paper, the MD/MM problem is r...

    Authors: Ji-An Luo, Xiao-Ping Zhang and Zhi Wang

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:61

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  20. Content type: Research

    The minimum power distortionless response beamformer has a good interference rejection capability, but the desired signal will be suppressed if signal steering vector or data covariance matrix is not precise. ...

    Authors: Yang Li, Hong Ma and Li Cheng

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:58

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  21. Content type: Research

    In this work, we present low-complexity variable forgetting factor (VFF) techniques for diffusion recursive least squares (DRLS) algorithms. Particularly, we propose low-complexity VFF-DRLS algorithms for dist...

    Authors: Ling Zhang, Yunlong Cai, Chunguang Li and Rodrigo C. de Lamare

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:57

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  22. Content type: Review

    The ensemble Kalman filter (EnKF) is a Monte Carlo-based implementation of the Kalman filter (KF) for extremely high-dimensional, possibly nonlinear, and non-Gaussian state estimation problems. Its ability to ...

    Authors: Michael Roth, Gustaf Hendeby, Carsten Fritsche and Fredrik Gustafsson

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:56

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  23. Content type: Research

    This paper focuses on robust transceiver design for throughput enhancement on the interference channel (IC), under imperfect channel state information (CSI). In this paper, two algorithms are proposed to impro...

    Authors: Ali D. Mayvan, Hassan Aghaeinia and Mohammad Kazemi

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:55

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  24. Content type: Research

    This paper focuses on sequential Monte Carlo approximations of smoothing distributions in conditionally linear and Gaussian state spaces. To reduce Monte Carlo variance of smoothers, it is typical in these mod...

    Authors: Ngoc Minh Nguyen, Sylvain Le Corff and Éric Moulines

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:54

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  25. Content type: Research

    The total variation (TV) denoising method is a PDE-based technique that preserves the edges well but has undesirable staircase effect in some cases, namely, the translation of smooth regions (ramps) into piece...

    Authors: Mushtaq Ahmad Khan, Wen Chen, Asmat Ullah and Zhuojia Fu

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:53

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  26. Content type: Research

    The accelerated advancement in modeling, digitizing, and visualizing techniques for 3D shapes has led to an increasing amount of 3D models creation and usage, thanks to the 3D sensors which are readily availab...

    Authors: Vijaya K. Ghorpade, Paul Checchin, Laurent Malaterre and Laurent Trassoudaine

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:52

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  27. Content type: Research

    In [Dhandapani and Ramachandran, “Area and power efficient DCT architecture for image compression”, EURASIP Journal on Advances in Signal Processing 2014, 2014:180] the authors claim to have introduced an appr...

    Authors: Renato J. Cintra and Fábio M. Bayer

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:50

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  28. Content type: Research

    Binaural noise reduction, with applications for instance in hearing aids, has been a very significant challenge. This task relates to the optimal utilization of the available microphone signals for the estimat...

    Authors: Masoumeh Azarpour and Gerald Enzner

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:49

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  29. Content type: Research

    This paper addresses the problem of DOA estimation using uniform linear array (ULA) antenna configurations. We propose a new low-cost method of multiple DOA estimation from very short data snapshots. The new e...

    Authors: Faouzi Bellili, Souheib Ben Amor, Sofiène Affes and Ali Ghrayeb

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:48

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  30. Content type: Research

    In this paper, we focus on a numerical method of a problem called the Perona-Malik inequality which we use for image denoising. This model is obtained as the limit of the Perona-Malik model and the p-Laplacian op...

    Authors: Fahd Karami, Lamia Ziad and Khadija Sadik

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:46

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  31. Content type: Research

    Canonic real-valued fast Fourier transform (RFFT) has been proposed to reduce the arithmetic complexity by eliminating redundancies. In a canonic N-point RFFT, the number of signal values at each stage is canonic...

    Authors: Yingjie Lao and Keshab K. Parhi

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:45

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  32. Content type: Research

    This paper focuses on the spotlight synthetic aperture radar (SAR) imaging for point scattering targets based on tensor modeling. In a real-world scenario, scatterers usually distribute in the block sparse pat...

    Authors: Yu-Fei Gao, Guan Gui, Xun-Chao Cong, Yue Yang, Yan-Bin Zou and Qun Wan

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:44

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  33. Content type: Review

    In recent years, automated human tracking over camera networks is getting essential for video surveillance. The tasks of tracking human over camera networks are not only inherently challenging due to changing ...

    Authors: Li Hou, Wanggen Wan, Jenq-Neng Hwang, Rizwan Muhammad, Mingyang Yang and Kang Han

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:43

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  34. Content type: Research

    Synthetic aperture radar (SAR) image classification plays a key role in SAR interpretation. Due to the cost and difficulty of truth labeling for SAR images, the newly labeled samples available for image classi...

    Authors: Yongke Ding, Yuanxiang Li and Wenxian Yu

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:41

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  35. Content type: Research

    In this paper, we investigate the ergodic rate for a device-to-device (D2D) communication system aided by a two-way decode-and-forward (DF) relay node. We first derive closed-form expressions for the ergodic r...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:40

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    The Correction to this article has been published in EURASIP Journal on Advances in Signal Processing 2018 2018:2

  36. Content type: Research

    A computer-aided detection (CAD) system is introduced in this paper for detection of breast lesions in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). The proposed CAD system firstly compensate...

    Authors: Shahriar B. Shokouhi, Aida Fooladivanda and Nasrin Ahmadinejad

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:39

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  37. Content type: Research

    This paper presents new spectrum sensing algorithms based on the cumulative power spectral density (CPSD). The proposed detectors examine the CPSD of the received signal to make a decision on the absence/prese...

    Authors: A. Nasser, A. Mansour, K. C. Yao, H. Abdallah and H. Charara

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:38

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  38. Content type: Research

    The multiplication of connected devices goes along with a large variety of applications and traffic types needing diverse requirements. Accompanying this connectivity evolution, the last years have seen consid...

    Authors: Vianney Lapotre, Guy Gogniat, Amer Baghdadi and Jean-Philippe Diguet

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:35

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