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

Articles

Page 1 of 73

  1. The separation of overlapping components is a well-known and difficult problem in multicomponent signals analysis and it is shared by applications dealing with radar, biosonar, seismic, and audio signals. In o...

    Authors: Vittoria Bruni, Michela Tartaglione and Domenico Vitulano

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:13

    Content type: Research

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  2. A new variable step-size strategy for the least mean square (LMS) algorithm is presented for distributed estimation in adaptive networks using the diffusion scheme. This approach utilizes the ratio of filtered...

    Authors: Muhammad Omer Bin Saeed and Azzedine Zerguine

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:12

    Content type: Research

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  4. A measurement matrix and sensing dictionary are the basic tools for signal compression sampling and reconstruction, respectively, which are important aspects in the field of compression sensing. Previous studi...

    Authors: Zhi Yuan Shen, Xin Miao Cheng and Qian Qian Wang

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:10

    Content type: Research

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  5. We present a novel approach to non-rigid object tracking in this paper by deriving an adaptive data-driven kernel. In contrast with conventional kernel-based trackers which suffer from the constancy of kernel ...

    Authors: Xin Sun, Wei Wang, Dong Li, Bin Zou and Hongxun Yao

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:9

    Content type: Research

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  6. Global navigation satellite systems (GNSS) are being the target of various jamming, spoofing, and meaconing attacks. This paper proposes a new statistical test for the presence of multiple spoofers based on ra...

    Authors: Ashkan Kalantari and Erik G. Larsson

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:8

    Content type: Research

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  7. The brain dynamics in the electroencephalogram (EEG) data are often challenging to interpret, specially when the signal is a combination of desired brain dynamics and noise. Thus, in an EEG signal, anything ot...

    Authors: Guruprasad Madhale Jadav, Jonatan Lerga and Ivan Štajduhar

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:7

    Content type: Research

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  8. Root tracking is a powerful technique that provides insight into the mechanisms of various time-varying processes. The poles and the zeros of a signal-generating system determine the spectral characteristics o...

    Authors: Kyriaki Kostoglou and Michael Lunglmayr

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:6

    Content type: Research

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  9. Continuous miniaturization of circuitry has open the door for various novel application scenarios of millimeter-sized wireless agents such as for the exploration of difficult-to-access fluid environments. In t...

    Authors: Stephan Schlupkothen, Tim Heidenblut and Gerd Ascheid

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:5

    Content type: Research

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  10. The existence of walls surrounding targets leads to multi-path return at the radar receiver, which provides additional information about the target, and thus can be exploited to strengthen the quality of throu...

    Authors: Shuangshuang Wu, Huilin Zhou, Song Liu and Rongxing Duan

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:4

    Content type: Research

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  11. An extension of the baseline non-intrusive load monitoring approach for energy disaggregation using temporal contextual information is presented in this paper. In detail, the proposed approach uses a two-stage...

    Authors: Pascal Alexander Schirmer, Iosif Mporas and Akbar Sheikh-Akbari

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:3

    Content type: Research

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  12. In this paper, we present a non-convex ℓ2/ℓq(0<q<1)-analysis method to recover a general signal that can be expressed as a block-sparse coefficient vector in a coherent tight frame, and a sufficient condition is ...

    Authors: Xiaohu Luo, Wanzhen Yang, Jincai Ha, Xing Ai and Xishan Tian

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:2

    Content type: Research

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  13. In this paper, we propose a target detection and localization method on distributed monopulse arrays for tracking radar. An optimized mainlobe jamming (MLJ) cancellation filter was designed by maximizing the p...

    Authors: Qing Sun, Qiliang Zhang, Xueyu Huang and Qian Gao

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:1

    Content type: Research

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  14. Signal design is an important component for good performance of radar systems. Here, the problem of determining a good radar signal with the objective of minimizing autocorrelation sidelobes is addressed, and ...

    Authors: Sebastian Alphonse and Geoffrey A. Williamson

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:62

    Content type: Review

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  15. This work proposes an analog implementation of gradient-based algorithm for compressive sensing signal reconstruction. Compressive sensing has appeared as a promising technique for efficient acquisition and re...

    Authors: Irena Orović, Nedjeljko Lekić, Marko Beko and Srdjan Stanković

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:61

    Content type: Research

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  16. Real-world networks are often cluttered and hard to organize. Recent studies show that most networks have the community structure, i.e., nodes with similar attributes form a certain community, which enables peopl...

    Authors: Yan Chen, Xuanyu Cao and K. J. Ray Liu

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:60

    Content type: Research

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  17. We proposed a one-dimensional convolutional neural network (CNN) model, which divides heart sound signals into normal and abnormal directly independent of ECG. The deep features of heart sounds were extracted ...

    Authors: Fen Li, Ming Liu, Yuejin Zhao, Lingqin Kong, Liquan Dong, Xiaohua Liu and Mei Hui

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:59

    Content type: Research

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  18. Traditional subspace methods which are based on the spatial time-frequency distribution (STFD) matrix have been investigated for direction-of-arrival (DOA) estimation of linear frequency modulation (LFM) signa...

    Authors: Xiaofa Zhang, Weike Zhang, Ye Yuan, Kaibo Cui, Tao Xie and Naichang Yuan

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:58

    Content type: Research

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  19. In this paper, we introduce the q-ratio block constrained minimal singular values (BCMSV) as a new measure of measurement matrix in compressive sensing of block sparse/compressive signals and present an algorithm...

    Authors: Jianfeng Wang, Zhiyong Zhou and Jun Yu

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:57

    Content type: Research

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  20. Pursuing better imaging quality and miniaturizing imaging devices are two trends in the current development of ultrasound imaging. While the first one leads to more complex and expensive imaging equipment, poo...

    Authors: Ruoyao Wang, Zhenghan Fang, Jiaqi Gu, Yi Guo, Shicong Zhou, Yuanyuan Wang, Cai Chang and Jinhua Yu

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:56

    Content type: Research

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  21. Transient signals are characteristic of the underlying phenomenon generating them, which makes their analysis useful in many fields. Transients occur as a sudden change between two steady state regimes, subsis...

    Authors: Mohamed Nait-Meziane, Philippe Ravier, Karim Abed-Meraim, Guy Lamarque, Jean-Charles Le Bunetel and Yves Raingeaud

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:55

    Content type: Research

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  22. The person re-identification is one of the most significant problems in computer vision and surveillance systems. The recent success of deep convolutional neural networks in image classification has inspired r...

    Authors: Aleksei Grigorev, Zhihong Tian, Seungmin Rho, Jianxin Xiong, Shaohui Liu and Feng Jiang

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:54

    Content type: Research

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  23. The complex correntropy is a recently defined similarity measure that extends the advantages of conventional correntropy to complex-valued data. As in the real-valued case, the maximum complex correntropy crit...

    Authors: Manoel B. L. Aquino, João P. F. Guimarães, Leandro L. S. Linhares, Aluísio I. R. Fontes and Allan M. Martins

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:53

    Content type: Research

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  24. The localization of multiple wireless agents via, for example, distance and/or bearing measurements is challenging, particularly if relying on beacon-to-agent measurements alone is insufficient to guarantee ac...

    Authors: Stephan Schlupkothen and Gerd Ascheid

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:52

    Content type: Research

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  25. This paper reports the investigation on the micromotion characteristics of chaff dipoles and a chaff cloud. Micromotion models of chaff dipoles and steady-state chaff clouds are discussed. Fourier transform me...

    Authors: Ran Li, Xinhong Hao and Ping Li

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:51

    Content type: Research

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  26. In this paper, online non-negative discriminative dictionary learning for tracking is proposed, which combines the advantages of the global dictionary learning model and the class-specific dictionary learning ...

    Authors: Weisong Wang, Fei Yang and Hongzhi Zhang

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:50

    Content type: Review

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  28. A robust object tracking algorithm is proposed in this paper based on an online discriminative appearance modeling mechanism. In contrast with traditional trackers whose computations cover the whole target reg...

    Authors: Wei Liu, Xin Sun and Dong Li

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:48

    Content type: Research

    Published on:

  29. K-singular value decomposition (K-SVD) is a frequently used dictionary learning (DL) algorithm that iteratively works between sparse coding and dictionary updating. The sparse coding process generates sparse c...

    Authors: Jun Fu, Haikuo Yuan, Rongqiang Zhao and Luquan Ren

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:47

    Content type: Research

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  30. This paper proposes a learning policy to improve the energy efficiency (EE) of heterogeneous cellular networks. The combination of active and inactive base stations (BS) that allows for maximizing EE is identi...

    Authors: Navikkumar Modi, Philippe Mary and Christophe Moy

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:46

    Content type: Research

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  32. We propose a new array configuration composed of multi-scale scalar arrays and a single triangular spatially spread electromagnetic-vector-sensor (SS-EMVS) for high-accuracy two-dimensional (2D) direction-of-a...

    Authors: Jin Ding, Minglei Yang, Baixiao Chen and Xin Yuan

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:44

    Content type: Research

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  33. Frequency estimation of a tonal signal in passive sonar systems is crucial to the identification of the marine object. In the conventional techniques, a basis mismatch error caused by the discretization of the...

    Authors: Jinhong Kim, Junhan Kim, Luong Trung Nguyen, Byonghyo Shim and Wooyoung Hong

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:43

    Content type: Research

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  34. We present sequential change-point detection procedures based on linear sketches of high-dimensional signal vectors using generalized likelihood ratio (GLR) statistics. The GLR statistics allow for an unknown ...

    Authors: Yang Cao, Andrew Thompson, Meng Wang and Yao Xie

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:42

    Content type: Research

    Published on:

  35. In recent years, deep convolutional neural networks (CNNs) have achieved great success in visual tracking. To learn discriminative representations, most of existing methods utilize information of image region ...

    Authors: Heyan Zhu and Hui Wang

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:41

    Content type: Research

    Published on:

  36. In this paper, a three-dimensional (3D) reconstruction algorithm is proposed for space targets with multistatic inverse synthetic aperture radar (ISAR) systems. In the proposed algorithm, target 3D geometry ca...

    Authors: Yue Zhao, Lei Zhang, Bo Jiu, Hongwei Liu and Zhenfang Li

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:40

    Content type: Research

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  37. State estimation in middle- (MV) and low-voltage (LV) electrical grids poses a number of challenges for the estimation method employed. A significant difference to high-voltage grids is the lack of measurement...

    Authors: Natallia Makarava, Guosong Lin and Sascha Eichstädt

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:39

    Content type: Research

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  38. In this paper, the problem of detection of small signal-to-noise ratio (SNR) variations in noisy signals is addressed in order to provide an efficient and fast method for detection of faulty electroencephalogr...

    Authors: Zeljka Milanović, Nicoletta Saulig, Ivan Marasović and Damir Seršić

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:38

    Content type: Research

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  39. Time difference of arrival (TDOA) positioning is one of the widely applied techniques for locating an emitting source. Unfortunately, synchronization clock bias and random sensor location perturbations are kno...

    Authors: Ding Wang, Jiexin Yin, Xin Chen, Changgui Jia and Fushan Wei

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:37

    Content type: Research

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  40. This paper considers regression tasks involving high-dimensional multivariate processes whose structure is dependent on some known graph topology. We put forth a new definition of time-vertex wide-sense statio...

    Authors: Andreas Loukas and Nathanaël Perraudin

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:36

    Content type: Research

    Published on:

  41. The decomposition of Chinese characters is difficult and has been rarely investigated in the literature. In this paper, we propose a novel non-negative matrix factorization (NMF) technique to decompose a Chine...

    Authors: Chih-Yang Lin, Li-Wei Kang, Tsung-Yi Huang and Min-Kuan Chang

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:35

    Content type: Research

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  42. Parallel magnetic resonance imaging (MRI) technique is able to accelerate MRI speed for reducing costs and enhancing patient’s comfortability. Parallel MRI can be categorized into two types: image-based and k-...

    Authors: Haifeng Wang, Yihang Zhou, Shi Su, Zhanqi Hu, Jianxiang Liao and Yuchou Chang

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:34

    Content type: Research

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  43. In digital filters theory, filtering techniques generally deal with pole-zero structures. In this context, filtering schemes, such as infinite impulse response (IIR) filters, are described by linear differenti...

    Authors: Sergio R. M. Penedo, Marcio Lobo Netto and João F. Justo

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:33

    Content type: Research

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  44. Deep learning is a hot method in face super-resolution reconstruction in recent years, but it needs to further improve the details of reconstructed images and speed up network training. This paper improves the...

    Authors: Di Fan, Shuai Fang, Guangcai Wang, Shang Gao and Xiaoxin Liu

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:32

    Content type: Research

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  45. In massive MIMO-OFDM systems, channel estimation is a significant module which can be utilized to eliminate multipath interference. However, in realistic communication systems, carrier frequency offset (CFO), ...

    Authors: Guang Li, Tianyun Li, Mankun Xu, Xiong Zha and Yunfei Xie

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:31

    Content type: Research

    Published on:

  46. Subspace-based direction-of-arrival (DoA) estimation commonly relies on the Principal-Component Analysis (PCA) of the sensor-array recorded snapshots. Therefore, it naturally inherits the sensitivity of PCA ag...

    Authors: Panos P. Markopoulos, Nicholas Tsagkarakis, Dimitris A. Pados and George N. Karystinos

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:30

    Content type: Research

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  47. The problem of spectrum sensing in multiple-input multiple-output (MIMO) cognitive radio systems using the cyclostationarity property is considered. Since the noise is not a cyclostationary signal and the inte...

    Authors: Yang Liu, Xiaoyan Zhao, Hongli Zhou, Yinghui Zhang and Tianshuang Qiu

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:29

    Content type: Research

    Published on:

  48. Constrained independent component analysis (ICA) is an effective method for solving the blind source separation with a prior knowledge. However, most constrained ICA algorithms are proposed for the real-valued so...

    Authors: Guobing Qian, Lidan Wang, Shiyuan Wang and Shukai Duan

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:28

    Content type: Research

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  49. In this paper, we propose a novel machine-learning method for anomaly detection applicable to data with periodic characteristics where randomly varying period lengths are explicitly allowed. A multi-dimensiona...

    Authors: Lia Ahrens, Julian Ahrens and Hans D. Schotten

    Citation: EURASIP Journal on Advances in Signal Processing 2019 2019:27

    Content type: Research

    Published on:

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  • ISSN: 1687-6180 (electronic)

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