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EURASIP Journal on Advances in Signal Processing
ISSN 1687-6172 · SpringerOpen · 3.858 artikel di indeks
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Artikel Jurnal
Selection of signal-bearing subcompositions with application to human microbiome studies
Abstract A common peculiarity of large-scale applied studies is that the relevant features (signals) are sparse and it is of interests to shrink down the focus toward a much smaller subset in a systematic way. This line of inquiry is of special interest for parsimonious modeling in high-dimensional…
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Artikel Jurnal
A Unified Feasible SQP Framework for sparse and non-negative sparse recovery
Abstract Sparse signal recovery is a central problem in many areas, including medical imaging, remote sensing, machine learning, and data science. In many practical settings, the underlying signal is inherently non-negative, due to the physical nature of the measured quantities (e.g., pixel…
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Artikel Jurnal
Multitaper adaptive time–frequency windowed synchroextracting transform based on the reliable region of window width
Abstract Due to the limitation from the uncertainty principle, the window size consistently affects the resolution of time–frequency distributions. Determining the optimal window size is crucial for time–frequency analysis. In this work, we propose the concept of the reliable window width range…
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Artikel Jurnal
On multipolar magnetic anomaly detection: multipolar signal subspaces, an analytical orthonormal basis, multipolar truncation and detection performance
Abstract In this paper, we consider the magnetic anomaly detection problem which aims to find ferromagnetic masses by estimating the weak perturbation they induce on local Earth’s magnetic field. We consider classical detection schemes that rely on signals recorded on a moving sensor, and modeling…
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Artikel Jurnal
Mathematical theory of sampling analog signals revisited
Abstract This paper is an attempt to formulate a unique mathematical theory of the sampling operation of analog signals by connecting all of its scattered in the literature fragments into a one whole. We think that there exists a need for performing this, since many of the fragments mentioned…
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Artikel Jurnal
Secure and privacy-preserving issues in integrated sensing and communication-enabled wireless networks: a survey
Abstract Integrated sensing and communication (ISAC) is a promising paradigm for next-generation wireless networks, offering enhanced resource utilization and improved performance across diverse applications. However, the inherent openness of wireless environments and the integration of sensing and…
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Artikel Jurnal
Hybrid deep learning for robust spectrum sensing over AWGN and fading channels
Abstract Accurate and reliable spectrum sensing (SS) is crucial for optimal spectrum usage in cognitive radio (CR) networks under challenging low signal-to-noise ratio (SNR) and fading channel conditions. The Bi-CLNetwork, a hybrid deep learning (DL) architecture, was proposed to enhance the…
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Artikel Jurnal
Kurtosis-guided Duffing for weak signal detection
Abstract Detecting weak signals embedded in strong noise remains a critical challenge across numerous engineering fields, including mechanical fault diagnosis, underwater acoustics, and biomedical monitoring. The Duffing oscillator is a well-established nonlinear tool capable of amplifying weak…
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Artikel Jurnal
Accurate electroencephalogram classification by variational Bayesian learning and graph convolutional networks
Abstract Non-invasive electroencephalogram (EEG) classification is crucial for motor-based brain–computer interfaces (BCIs), as it avoids surgical implantation and can be applied in a wider range of scenarios. However, EEG studies often encounter limited sample sizes, making it difficult for…
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Artikel Jurnal
A robust blind hybrid watermarking technique for medical images based on contourlet and dual-tree complex wavelet transforms
Abstract This paper proposes a blind hybrid watermarking scheme that addresses the critical need for data security and integrity in e-health systems. The method integrates the Contourlet Transform (CT) and Dual-Tree Complex Wavelet Transform (DTCWT) to achieve a robust and imperceptible…
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Artikel Jurnal
A review of localization and sensing technologies for UAV swarms in SAR missions
Abstract Unmanned aerial vehicle (UAV) swarms are experiencing a remarkable growth as powerful assets in search and rescue (SAR) missions, offering rapid situational awareness and wide-area coverage in environments that are often inaccessible or unsafe for human responders. Localization, the…
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Artikel Jurnal
A Complex-valued hybrid deep learning models for automatic modulation recognition
Abstract Modulation recognition methods with real-valued deep network models fail to fully leverage the complex nature of in-phase/quadrature(I/Q) signals. Automatic modulation recognition based on complex-valued operations has attracted the attention of researchers. A Complex-valued hybrid deep…
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Artikel Jurnal
Medical image fusion under diffusion-inspired multiframe super-resolution framework
Abstract Medical doctors prefer high-quality images to provide more accurate and reliable treatments to patients. In achieving this pressing demand, scholars have proposed a range of image enhancement and restoration methods to improve the information density and quality of medical images. For…
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Artikel Jurnal
Research and implementation of an authentication system fusing physical layer and behavioral fingerprinting for power systems
Abstract With the rapid growth of resource integration in modern power systems, these resources are diverse, large-scale, and situated in complex and open physical environments, making them relatively vulnerable to cyber-attacks due to weaker security measures. To address this challenge, this paper…
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Artikel Jurnal
Assessment of signal strength in intelligent reflecting surface-aided wireless communication systems
Abstract With the next-generation development of wireless communication networks, new technologies have been suggested to face the new research challenges that emerged. One of these technologies is the intelligent reflecting surfaces (IRSs). The IRS is a promising technology for controlling of…
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Artikel Jurnal
Symbol error probability constrained precoding for systems with time-instance zero-crossing modulation and 1-bit ADCs
Abstract Future wireless communications systems are expected to operate at bands above 100 GHz. The high energy consumption of analog-to-digital converters, due to their high resolution, represents a bottleneck for future wireless communications systems that require low energy consumption and low…
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Artikel Jurnal
Outlier detection and removal in multifractal analysis of electrophysiological brain signals
Abstract The analysis of the scale-invariant properties of brain activity has received growing attention in the last 15 years, especially in the context of the brain criticality hypothesis. Multifractal analysis (MFA) extends the ability of the usual tools in brain criticality research (e.g…
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Artikel Jurnal
Performance analysis of RFID localization based on dual-tag range sensors
Abstract Indoor localization based on radio technology has been a long-standing issue for the past two decades. In this paper, we study the localization problem by using dual-tag range sensors. We show that the localization problem can be converted into a constrained optimization problem. Based on…
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Artikel Jurnal
Federated reinforcement learning for scheduling-offloading policies in multi-cluster NOMA systems
Abstract Intelligent scheduling and resource allocation of user equipments (UEs) in wireless networks has been an ongoing topic of research. The innovation in this field focuses mostly on generalizing the system to include more components, as well as deriving new ways to solve the problem. We…
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Artikel Jurnal
Early prediction of ventricular fibrillation through continuous ECG analysis and machine learning techniques
Abstract Purpose Ventricular fibrillation (VF) is a life-threatening arrhythmia in which timely intervention is critical to prevent sudden cardiac death (SCD). Early prediction can improve survival rates by enabling pre-emptive clinical actions or early patient response. However, most existing VF…
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