Results 41 to 50 of about 2,768,391 (211)
CFAR based NOMP for Line Spectral Estimation and Detection
The line spectrum estimation problem is considered in this paper. We propose a CFAR-based Newtonized OMP (NOMP-CFAR) method which can maintain a desired false alarm rate without the knowledge of the noise variance. The NOMP-CFAR consists of two steps, namely, an initialization step and a detection step.
Menghuai Xu +4 more
openaire +3 more sources
Modified reference window for two-dimensional CFAR in radar target detection
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
doaj +1 more source
CA-CFAR Based Target Detection in FMCW Radars
In this study, two different FMCW radar waveforms as sawtooth and triangular are addressed. Firstly, these waveform signals are defined then the results of first Fast Fourier Transform (FFT) as range-amplitude, and second FFT of range-velocity matrix plots are obtained.
Oytun Günes, Safak Bilgi Akdemir
openaire +2 more sources
Background and Purpose Although opioids are central to end of life (EoL) care, tissue‐level opioid exposure remains poorly understood. The objective of this study was to characterize the relationship between prescription‐derived morphine equivalent daily dose (MEDD) and measured morphine concentrations across multiple organs.
Niamh Higgins +23 more
wiley +1 more source
SAR image target-detection method based on two-stage CFAR detector with G^0 distribution
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
doaj +1 more source
A CFAR‐like detector based on neural network for simulated high‐frequency surface wave radar data
This article presents a deep neural network‐based constant false alarm rate (NNB‐CFAR) detector for simulated high‐frequency surface wave radar (HFSWR) data.
Rômulo Fernandes daCosta +3 more
doaj +1 more source
An Improved Superpixel-based CFAR Method for High-resolution SAR Image Ship Target Detection
Synthetic Aperture Radar (SAR) image ship target detection has attracted considerable attention. As a state-of-the-art method, the Constant False Alarm Rate (CFAR) detection algorithm is often used in SAR image ship target detection.
Fan ZHANG +3 more
doaj +1 more source
ABSTRACT Objective Black women living with HIV (BWLH) have a heightened susceptibility to depression due to factors such as intimate partner violence (IPV), alcohol use, and substance abuse. This study examined the relationship between Substance Abuse, Violence, and Heavy Alcohol use (SAVA) among BWLH to determine whether this relationship creates ...
T. Dyer +18 more
wiley +1 more source
Abstract BACKGROUND Parabens, including butylparaben (BP), are widely used as antimicrobial preservatives in food, cosmetics, and pharmaceuticals, yet are poorly removed by conventional water treatment processes and pose potential risks to aquatic life and human health.
Lorena Maihury Santos Tsubouchi +8 more
wiley +1 more source
Modified rank sum nonparametric CFAR to combat clutter edge
The classical rank sum (RS) nonparametric constant false alarm rate (CFAR) detector plays an important role in the theoretical study and practical application of radar target detection.
Meng Xiangwei, Meng Yuan
doaj +1 more source

