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EURASIP Journal on Advances in Signal Processing
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Articles

Page 1 of 73

  1. Image denoising plays an important role in image processing, which aims to separate clean images from noisy images. A number of methods have been presented to deal with this practical problem over the past sev...

    Authors: Khawla Bnou, Said Raghay and Abdelilah Hakim

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:36

    Content type: Research

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  2. The computation of the sine and cosine functions is required in devices ranging from application-specific signal processors to general purpose floating-point units. Even in the latter case, the required functi...

    Authors: David Guerrero Martos, Alejandro Millán Calderón, Jorge Juan Chico, Julian Viejo Cortés, Manuel J. Bellido Díaz, Paulino Ruiz-de-Clavijo Vazquez and Enrique Ostúa Arangüena

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:35

    Content type: Research

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  4. Neural networks provide new possibilities to uncover semantic relationships between words by involving contextual information, and further a way to learn the matching pattern from document-query word contextua...

    Authors: Yuanyuan Qi, Jiayue Zhang, Weiran Xu and Jun Guo

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:33

    Content type: Research

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  5. In this paper, the ill-posedness of derivative interpolation is discussed, and a regularized derivative interpolation for band-limited signals is presented. The ill-posedness is analyzed by the Shannon samplin...

    Authors: Weidong Chen

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:32

    Content type: Research

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  6. With increased degrees of freedom of the transmitter, coherent waveform-agile radar system can change its transmission on-the-fly in response to target detection’s requirement. This approach can provide better...

    Authors: Jindong Zhang, Naiqing Xu, Hu Song and Chao Zhang

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:31

    Content type: Research

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  7. This paper considers the problem of signal decomposition and filtering by extending its scope to various signals that cannot be effectively dealt with existing methods. For the core of our methodology, we intr...

    Authors: Donghoh Kim, Guebin Choi and Hee-Seok Oh

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:30

    Content type: Research

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  8. This paper presents a novel type of a filter bank for image decomposition that incorporates “singular spectrum analysis” (SSA). SSA is based on “singular value decomposition” (SVD).The presented filter banks p...

    Authors: Julia Evers, Florian Evers, Florian Goppelt and Ronald Schmidt-Vollus

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:29

    Content type: Research

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  9. This paper focuses on a low-complexity one-dimensional (1D) direction-of-arrival (DOA) algorithm with an arbitrary cross-linear array. This algorithm is highly accurate without the performance error usually ca...

    Authors: Gengxin Ning, Guangyu Jing, Xiaopeng Li and Xuejin Zhao

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:28

    Content type: Research

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  10. In this paper, a vision-based patient identification recognition system based on image content analysis and support vector machine is proposed for medical information system, especially in dermatology. This pr...

    Authors: Guo-Shiang Lin, Sin-Kuo Chai, Hsiang-Min Li and Jen-Yung Lin

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:27

    Content type: Research

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  11. This work proposes an unsupervised fusion framework based on deep convolutional transform learning. The great learning ability of convolutional filters for data analysis is well acknowledged. The success of co...

    Authors: Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux and Giovanni Chierchia

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:26

    Content type: Research

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  12. Statistical signal processing applications usually require the estimation of some parameters of interest given a set of observed data. These estimates are typically obtained either by solving a multi-variate o...

    Authors: David Luengo, Luca Martino, Mónica Bugallo, Víctor Elvira and Simo Särkkä

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:25

    Content type: Review

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  13. Thanks to massive antenna arrays in millimeter wave communications, a much higher resolution can be achieved for the estimation of angle of arrival. By taking full advantage of beamforming capability and high ...

    Authors: Feng Zhao, Tiancheng Huang and Donglin Wang

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:24

    Content type: Research

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  14. This paper discusses the fitting of linear state space models to given multivariate time series in the presence of constraints imposed on the four main parameter matrices of these models. Constraints arise par...

    Authors: Andreas Galka, Sidratul Moontaha and Michael Siniatchkin

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:23

    Content type: Research

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  16. Recently, compressed sensing (CS) has aroused much attention for that sparse signals can be retrieved from a small set of linear samples. Algorithms for CS reconstruction can be roughly classified into two cat...

    Authors: Zhishen Tong, Feng Wang, Chenyu Hu, Jian Wang and Shensheng Han

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:21

    Content type: Research

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  17. Sparse representation based on classification and collaborative representation based classification with regularized least square has been successfully used in face recognition. The over-completed dictionary i...

    Authors: Dongmei Wei, Tao Chen, Shuwei Li, Dongmei Jiang, Yuefeng Zhao and Tianping Li

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:20

    Content type: Research

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  19. 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

    Content type: Research

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  20. 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

    Content type: Research

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  21. 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

    Content type: Research

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  22. 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

    Content type: Research

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  23. 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

    Content type: Research

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  24. 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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  25. 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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  27. 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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  28. 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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  29. 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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  30. 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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  31. 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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  32. 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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  33. 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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  34. 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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  35. 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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  36. 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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  37. 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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  38. 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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  39. 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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  40. 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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  41. 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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  42. 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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  43. 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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  44. 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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  45. 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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  46. 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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  47. 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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  48. 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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  49. 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

    Published on:

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  • ISSN: 1687-6180 (electronic)