Results 51 to 60 of about 8,837 (176)
Research on building signal processing analysis module using RTL-SDR
Tạp chí Khoa học và Công nghệThe research focuses on the development and evaluation of a radio signal processing and analysis module, utilizing RTL-SDR equipment in combination with a Raspberry Pi 4 Model B embedded computer. By applying signal processing algorithms such as the Fast
Trung Thanh Nguyen, Ngoc Thang Bui
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Metal Organic Framework‐Modified Carbon Fiber Microelectrodes for Enhanced Neurochemical Detection
ChemElectroChem, Volume 13, Issue 8, 15 April 2026.In this work, we modified carbon fiber microelectrodes (CFMEs) with the iron‐based metal organic framework MIL‐88B(Fe) and examined their performance using fast scan cyclic voltammetry (FSCV). The modification enhanced the dopamine signal at low concentrations and enabled consistent nanomolar detection, while maintaining clear peak separation in ...
Teflah Alshammari +4 more
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SPH Simulates Steep‐Stepped Spillway Flows Assessing Convergence, DDT Effects, and Pressure Accuracy
Chemical Engineering &Technology, Volume 49, Issue 4, April 2026.Numerical investigation of high‐gradient stepped spillway flows using the SPH method, highlighting the simulation setup and skimming flow regime. Convergence analysis compares results with and without the Density Diffusion Term (DDT), showing its effectiveness in reducing spurious oscillations.
Eduardo Masaji Endo +3 more
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CFAR-DP-FW: A CFAR-Guided Dual-Polarization Fusion Framework for Large-Scene SAR Ship Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingEffective ship detection in synthetic aperture radar (SAR) imagery is crucial for maritime safety and surveillance. Despite the advancements in deep learning for SAR ship detection, significant challenges remain, particularly in large scenes.
Tianjiao Zeng +7 more
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Wilcoxon Nonparametric CFAR Scheme for Ship Detection in SAR Image
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThe parametric constant false alarm rate (CFAR) detection algorithms, which are based on various statistical distributions, such as Gaussian, Gamma, Weibull, log-normal, $G^{0}$, and alpha-stable distribution, are most widely used to detect the ship ...
Xiangwei Meng
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Modified reference window for two-dimensional CFAR in radar target detection
The Journal of Engineering, 2019 The constant false alarm rate (CFAR) technology plays an important role in radar target detection. In cell averaging CFAR detectors, a reference window is usually adopted to estimate the average interference power in the range–Doppler matrix and to ...
Weijiang Wang +4 more
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JNAM: a new detector proposed for marine radars
International Journal of Information and Communication Technology Research, 2015 The proposed detector in this paper was obtained from a combination of adaptive and clutter-map detectors. Detection power of detectors has been studied in homogeneous and non-homogeneous environment (presence of interference targets) through MATLAB ...
Ali Naseri, Jahan Jamshidi
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CFAR Target Detector in Synthetic Aperture Radar
Известия высших учебных заведений России: РадиоэлектроникаIntroduction. Constant false alarm rate (CFAR) detectors have found application in synthetic aperture radar (SAR) systems. The operating principle of a classic cell averaging detector (CA-CFAR detector) is based on comparing the decision statistics in ...
A. A. Monakov
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SAR image target-detection method based on two-stage CFAR detector with G^0 distribution
The Journal of Engineering, 2019 CFAR detection algorithm is widely used in the typical target detection of SAR images. In SAR image target detection, the simple statistical distribution models, such as Gaussian distribution, normal distribution, Weibull distribution etc., are obviously
Cai Fu-qing +3 more
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