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  1. The paper proposes a novel approach for extraction of useful information and blind source separation of signal components from noisy data in the time-frequency domain. The method is based on the local Rényi en...

    Authors: Ana Vranković, Jonatan Lerga and Nicoletta Saulig
    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:18
  2. The paper presents a model set adaptive filtering algorithm based on variational Bayesian approximation (MSA-VB) for the target tracking system with the model and noise uncertainties. The Rényi information div...

    Authors: Tianli Ma, ChaoBo Chen and Song Gao
    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:17
  3. Neural networks based on the attentional encoder-decoder model have good capability in abstractive text summarization. However, these models are hard to be controlled in the process of generation, which leads ...

    Authors: Weiran Xu, Chenliang Li, Minghao Lee and Chi Zhang
    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:16
  4. Image deconvolution consists in restoring a blurred and noisy image knowing its point spread function (PSF). This inverse problem is ill-posed and needs prior information to obtain a satisfactory solution. Bay...

    Authors: Bouchra Laaziri, Said Raghay and Abdelilah Hakim
    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:15
  5. This paper deals with cell identifier (ID) estimation for narrowband-Internet of things (NB-IoT) system. It is suggested to transform the usual maximum likelihood (ML) estimator expression in order to highligh...

    Authors: Vincent Savaux
    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:14
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. In this paper, we present a non-convex 2/q(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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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

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