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EURASIP Journal on Advances in Signal Processing
EURASIP Journal on Advances in Signal Processing Cover Image

Articles

Page 2 of 71

  1. Content type: Research

    Traditional space-time adaptive processing (STAP) usually needs many independent and identically distributed (i.i.d) training datasets for estimating clutter covariance matrix (CCM). But this requirement is ha...

    Authors: Wei Wang, Lin Zou, Xuegang Wang and Yang Yang

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:24

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  2. Content type: Research

    In this paper, we consider the 2-D direction-of-arrival (DOA) tracking problem. The signals are captured by a uniform spherical array and therefore can be analyzed in the spherical harmonics domain. Exploiting...

    Authors: Qinghua Huang, Jingbiao Huang, Kai Liu and Yong Fang

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:23

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  4. Content type: Research

    In this paper, the signed regressor normalized subband adaptive filter (SR-NSAF) algorithm is proposed. This algorithm is optimized by L1-norm minimization criteria. The SR-NSAF has a fast convergence speed and a...

    Authors: Mohammad Shams Esfand Abadi, Mohammad Saeed Shafiee and Mehrdad Zalaghi

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:21

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  5. Content type: Research

    The complexity of agent localization increases significantly when unique identification of the agents is not possible. Corresponding application cases include multiple-source localization, in which the agents ...

    Authors: Stephan Schlupkothen, Bastian Prasse and Gerd Ascheid

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:20

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  7. Content type: Research

    Multiple-Input Multiple-Output (MIMO) relay communication systems are used as an efficient system in spectral efficiency and power allocation view point. In these systems, some of the facilities need channel s...

    Authors: Abbas Akbarpour-Kasgari and Mehrdad Ardebilipour

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:18

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  9. Content type: Research

    This paper is concerned with DOA estimation using a single-electromagnetic vector sensor in the presence of mutual coupling. Firstly, we apply the temporally smoothing technique to improve the identifiability ...

    Authors: Ting Shu, Kun Wang, Jin He and Zhong Liu

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:14

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  10. Content type: Research

    We revisit the multiple importance sampling (MIS) estimator and investigate the bound on the efficiency improvement over balance heuristic estimator with equal count of samples established in Veach’s thesis. W...

    Authors: Mateu Sbert, Vlastimil Havran and Laszlo Szirmay-Kalos

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:15

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  11. Content type: Research

    The null space condition for ℓ1 minimization in compressed sensing is a necessary and sufficient condition on the sensing matrices under which a sparse signal can be uniquely recovered from the observation data v...

    Authors: Myung Cho, Kumar Vijay Mishra and Weiyu Xu

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:16

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  12. Content type: Research

    In this paper, a novel consensus-based adaptive algorithm for distributed target tracking in large scale camera networks is presented, aimed at situations characterized by limited sensing range, high-level clu...

    Authors: Khaled Obaid Al Ali, Nemanja Ilić, Miloš S. Stanković and Srdjan S. Stanković

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:13

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  13. Content type: Research

    This paper extends the recently proposed and theoretically justified iterative thresholding and K residual means (ITKrM) algorithm to learning dictionaries from incomplete/masked training data (ITKrMM). It furthe...

    Authors: Valeriya Naumova and Karin Schnass

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:12

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  14. Content type: Research

    In acoustic multi-channel equalization techniques, such as complete multi-channel equalization based on the multiple-input/output inverse theorem (MINT), relaxed multi-channel least-squares (RMCLS), and partia...

    Authors: Ina Kodrasi and Simon Doclo

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:11

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  15. Content type: Research

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:10

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  16. Content type: Research

    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...

    Authors: Pierre Gloaguen, Marie-Pierre Étienne and Sylvain Le Corff

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:9

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  17. Content type: Research

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:8

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  18. Content type: Research

    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...

    Authors: Avi Rosenfeld, Ron Illuz, Dovid Gottesman and Mark Last

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:7

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  19. Content type: Research

    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...

    Authors: Weiwei Zhou and Jill K. Nelson

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:6

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  20. Content type: Research

    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 ...

    Authors: Luca Martino, Roberto Casarin, Fabrizio Leisen and David Luengo

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:5

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  22. Content type: Research

    In digital communication systems, different clock frequencies of transmitter and receiver usually are translated into cycle slips. Receivers and transmitters may experience different sampling frequencies due t...

    Authors: Somayeh Bazin and Mahmoud Ferdosizade Naeiny

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:3

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  23. Content type: Research

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:1

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  24. Content type: Correction

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:2

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

  25. 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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  26. 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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  27. 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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  28. 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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  29. 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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  30. 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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  31. 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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  33. 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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  35. 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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  37. 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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  38. 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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  39. 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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  40. 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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  41. 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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  43. 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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  44. 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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  45. 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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  46. 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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  48. 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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  • ISSN: 1687-6180

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