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EURASIP Journal on Advances in Signal Processing
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Articles

Page 4 of 73

  1. The continuous generalized wavelet transform (GWT) which is regarded as a kind of time-linear canonical domain (LCD)-frequency representation has recently been proposed. Its constant-Q property can rectify the...

    Authors: Jiatong Wang, Yue Wang, Weijiang Wang and Shiwei Ren

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:29

    Content type: Research

    Published on:

  2. In this paper, statistical-model generalizations of independent low-rank matrix analysis (ILRMA) are proposed for achieving high-quality blind source separation (BSS). BSS is a crucial problem in realizing man...

    Authors: Daichi Kitamura, Shinichi Mogami, Yoshiki Mitsui, Norihiro Takamune, Hiroshi Saruwatari, Nobutaka Ono, Yu Takahashi and Kazunobu Kondo

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:28

    Content type: Research

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  3. A simultaneous wireless information and power transfer system in interference channels of multi-users is considered. In this system, each transmitter sends one data stream to its targeted receiver, which cause...

    Authors: Zhigang Wen, Ying Liu, Xiaoqing Liu, Shan Li and Xianya Chen

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:27

    Content type: Research

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  4. Phonocardiogram (PCG) signal represents recording of sounds and murmurs resulting from heart auscultation. Analysis of these PCG signals is critical in diagnosis of different heart diseases. Over the years, a ...

    Authors: Shahid Ismail, Imran Siddiqi and Usman Akram

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:26

    Content type: Review

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  5. In this paper, a novel correlation feature-based detector is proposed to deal with the challenging problem of detecting a range-distributed target embedded in nonstationary sea clutter. It is well known that s...

    Authors: Ye Yuan, Hong Zhu, Qingping Wang, Wentao Yuan and Naichang Yuan

    Citation: EURASIP Journal on Advances in Signal Processing 2018 2018:25

    Content type: Research

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  6. 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

    Content type: Research

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  7. 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

    Content type: Research

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  9. 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

    Content type: Research

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  10. 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

    Content type: Research

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  12. 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

    Content type: Research

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  14. 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

    Content type: Research

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  15. 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

    Content type: Research

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  16. 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

    Content type: Research

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  17. 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

    Content type: Research

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  18. 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

    Content type: Research

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  19. 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

    Content type: Research

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  20. 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

    Content type: Research

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  21. 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

    Content type: Research

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  22. 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

    Content type: Research

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  23. 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

    Content type: Research

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  24. 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

    Content type: Research

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  25. 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

    Content type: Research

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  27. 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

    Content type: Research

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  28. 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

    Content type: Correction

    Published on:

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

  29. 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

    Content type: Research

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  30. 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

    Content type: Research

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  31. 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

    Content type: Research

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  32. 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

    Content type: Research

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  33. 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

    Content type: Research

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  34. 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

    Content type: Research

    Published on:

  35. 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

    Content type: Research

    Published on:

  36. 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

    Content type: Research

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  38. 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

    Content type: Research

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  40. 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

    Content type: Research

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  42. 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

    Content type: Research

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  43. 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

    Content type: Research

    Published on:

  44. 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

    Content type: Research

    Published on:

  45. 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

    Content type: Research

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  46. 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

    Content type: Research

    Published on:

  48. 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

    Content type: Research

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  49. 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

    Content type: Research

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  50. 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

    Content type: Research

    Published on:

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  • ISSN: 1687-6180 (electronic)