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EURASIP Journal on Advances in Signal Processing
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Articles

Page 1 of 74

  1. Smart environment sensing and other applications play a more and more important role along with the rapid growth of device-free sensing-based services, and extracting parameters contained in channel state info...

    Authors: Xiaolong Yang, Yuan She, Liangbo Xie and Zhaoyu Li

    Citation: EURASIP Journal on Advances in Signal Processing 2021 2021:16

    Content type: Research

    Published on:

  2. We consider the problem of reconstructing a signal from under-determined modulo observations (or measurements). This observation model is inspired by a relatively new imaging mechanism called modulo imaging, w...

    Authors: Viraj Shah and Chinmay Hegde

    Citation: EURASIP Journal on Advances in Signal Processing 2021 2021:15

    Content type: Research

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  3. This paper proposes a new approach for finding the conditionally optimal solution (the classifier with minimum error probability) for the classification problem where the observations are from the multivariate...

    Authors: Masoud Naderpour and Hossein Khaleghi Bizaki

    Citation: EURASIP Journal on Advances in Signal Processing 2021 2021:14

    Content type: Research

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  4. An amendment to this paper has been published and can be accessed via the original article.

    Authors: Xiaobin Liu, Feng Zhao, Xiaofeng Ai and Qihua Wu

    Citation: EURASIP Journal on Advances in Signal Processing 2021 2021:13

    Content type: Correction

    Published on:

    The original article was published in EURASIP Journal on Advances in Signal Processing 2021 2021:9

  6. This paper deals with a problem of matrix completion in which each column vector of the matrix belongs to a low-dimensional differentiable manifold (LDDM), with the target matrix being high or full rank. To so...

    Authors: Ryohei Sasaki, Katsumi Konishi, Tomohiro Takahashi and Toshihiro Furukawa

    Citation: EURASIP Journal on Advances in Signal Processing 2021 2021:11

    Content type: Research

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  7. Reliability and user compliance of the applied sensor system are two key issues of digital healthcare and biomedical informatics. For gait assessment applications, accurate joint angle measurements are importa...

    Authors: Javier Conte Alcaraz, Sanam Moghaddamnia and Jürgen Peissig

    Citation: EURASIP Journal on Advances in Signal Processing 2021 2021:10

    Content type: Research

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  8. The interrupted transmitting and receiving (ITR) can be used in anechoic chamber to solve the coupling between the transmitted and reflected signals. When the ITR periods are random, the fake peaks in high-res...

    Authors: Xiaobin Liu, Feng Zhao, Xiaofeng Ai and Qihua Wu

    Citation: EURASIP Journal on Advances in Signal Processing 2021 2021:9

    Content type: Research

    Published on:

    The Correction to this article has been published in EURASIP Journal on Advances in Signal Processing 2021 2021:13

  9. Radar technology plays a vital role in enhancing surveillance of the battlefields and physical borders, disease detection, and weather prediction. However, there exist certain challenges like detecting fast-mo...

    Authors: Majid Alotaibi

    Citation: EURASIP Journal on Advances in Signal Processing 2021 2021:8

    Content type: Research

    Published on:

    The Correction to this article has been published in EURASIP Journal on Advances in Signal Processing 2021 2021:12

  10. The prediction and correction of systematic errors in direct spectral estimation from irregularly sampled data taken from a stochastic process is investigated. Different sampling schemes are investigated, whic...

    Authors: Nils Damaschke, Volker Kühn and Holger Nobach

    Citation: EURASIP Journal on Advances in Signal Processing 2021 2021:7

    Content type: Research

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  11. In this paper, we present a joint time-variant carrier frequency offset (CFO) and frequency-selective channel response estimation scheme for multiple input-multiple output-orthogonal frequency-division multipl...

    Authors: Nan-Hung Cheng, Kai-Chieh Huang, Yung-Fang Chen and Shu-Ming Tseng

    Citation: EURASIP Journal on Advances in Signal Processing 2021 2021:6

    Content type: Research

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  12. Non-invasive photoplethysmography (PPG) technology was developed to track heart rate during motion. Automated analysis of PPG has made it useful in both clinical and non-clinical applications. However, PPG-bas...

    Authors: Shahid Ismail, Usman Akram and Imran Siddiqi

    Citation: EURASIP Journal on Advances in Signal Processing 2021 2021:5

    Content type: Review

    Published on:

  13. Range alignment is an essential procedure in the translation motion compensation of inverse synthetic aperture radar imaging. Global optimization or maximum-correlation-based algorithms have been used to reali...

    Authors: Yue Lu, Jian Yang, Yue Zhang and Shiyou Xu

    Citation: EURASIP Journal on Advances in Signal Processing 2021 2021:4

    Content type: Research

    Published on:

  14. This paper addresses the problem of tracking a moving source, e.g., a robot, equipped with both receivers and a source, that is tracking its own location and simultaneously estimating the locations of multiple...

    Authors: Maya Veisman, Yair Noam and Sharon Gannot

    Citation: EURASIP Journal on Advances in Signal Processing 2021 2021:3

    Content type: Research

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  15. Long-term visual tracking undergoes more challenges and is closer to realistic applications than short-term tracking. However, the performances of most existing methods have been limited in the long-term track...

    Authors: Juanjuan Wang, Haoran Yang, Ning Xu, Chengqin Wu, Zengshun Zhao, Jixiang Zhang and Dapeng Oliver Wu

    Citation: EURASIP Journal on Advances in Signal Processing 2021 2021:2

    Content type: Research

    Published on:

  16. Cognitive radio (CR) is designed to implement dynamical spectrum sharing and reduce the negative effect of spectrum scarcity caused by the exponential increase in the number of wireless devices. CR requires th...

    Authors: Jin Lu, Ming Huang and Jingjing Yang

    Citation: EURASIP Journal on Advances in Signal Processing 2021 2021:1

    Content type: Research

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  17. Single-channel speech enhancement in highly non-stationary noise conditions is a very challenging task, especially when interfering speech is included in the noise. Deep learning-based approaches have notably ...

    Authors: Maximilian Strake, Bruno Defraene, Kristoff Fluyt, Wouter Tirry and Tim Fingscheidt

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:49

    Content type: Research

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  18. In this paper, a very-large-scale integration (VLSI) design that can support high-efficiency video coding inverse discrete cosine transform (IDCT) for multiple transform sizes is proposed. The proposed two-dim...

    Authors: Yuan-Ho Chen and Chieh-Yang Liu

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:48

    Content type: Research

    Published on:

  19. The division of fuzzy space is very important in the identification of premise parameters, and the Gaussian membership function is applied to the premise fuzzy set. However, the two parameters of Gaussian memb...

    Authors: Yaxue Ren, Fucai Liu, Jinfeng Lv, Aiwen Meng and Yintang Wen

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:47

    Content type: Research

    Published on:

  21. This paper considers time-domain spatial multiplexing in MIMO wideband system, using an LU-based polynomial matrix decomposition. Because the corresponding pre- and post-filters are not paraunitary, the noise ...

    Authors: Moustapha Mbaye, Moussa Diallo and Mamadou Mboup

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:45

    Content type: Research

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  22. Due to the rapid development and wide application of compressed sensing and sparse reconstruction theory, there exists a series of sparsity-based methods for the antenna sensor array direction of arrival (DOA)...

    Authors: Tao Chen, Lin Shi and Yongzhi Yu

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:44

    Content type: Research

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  23. Myoelectric signals are regarded as the control signal for prosthetic limbs. But, the main research challenge is reliable and repeatable movement detection using electromyography. In this study, the analysis o...

    Authors: Aida Masoumdoost, Reza Saadatyar and Hamid Reza Kobravi

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:43

    Content type: Research

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  24. Direction of arrival (DOA) estimation has been discussed extensively in the array signal processing field. In this paper, the authors focus on the multi-source DOA information which is defined as the mutual in...

    Authors: Weilin Tu, Dazhuan Xu, Ying Zhou and Chao Shi

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:42

    Content type: Research

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  25. Higher-order tensors can represent scores in a rating system, frames in a video, and images of the same subject. In practice, the measurements are often highly quantized due to the sampling strategies or the q...

    Authors: Ren Wang, Meng Wang and Jinjun Xiong

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:41

    Content type: Research

    Published on:

  26. We design a rectified linear unit-based multilayer neural network by mapping the feature vectors to a higher dimensional space in every layer. We design the weight matrices in every layer to ensure a reduction...

    Authors: Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund and Saikat Chatterjee

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:40

    Content type: Research

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  28. As a critical technology of 5G air interface waveform, filtered orthogonal frequency division multiplexing (F-OFDM) not only inherits the technical advantages of OFDM, but also has outstanding advantages in sy...

    Authors: Xing-le Feng, Meng-jie Wang, Li Chen, Wen-xia Zhu and Kun Hua

    Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:38

    Content type: Research

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  30. 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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  31. 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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  33. 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

    Published on:

  34. 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

    Published on:

  35. 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

    Published on:

  36. 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

    Published on:

  37. 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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  38. 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

    Published on:

  39. 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

    Published on:

  40. 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

    Published on:

  41. 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

    Published on:

  42. 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

    Published on:

  43. 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

    Published on:

  45. 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

    Published on:

  46. 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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  48. 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

    Published on:

  49. 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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  50. 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

    Published on:

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  • ISSN: 1687-6180 (electronic)
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