Results 151 to 160 of about 6,791,449 (184)
Autonomous screening of infants at high risk for neurodevelopmental impairments using a radar sensor and machine learning. [PDF]
Kim SH +6 more
europepmc +1 more source
The performances of order statistic (OS) constant false alarm rate (CFAR) detectors are analyzed for non-Gaussian clutters modeled by heavy-tailed complex isotropic symmetric alpha-stable random processes whose amplitude is the generalized Rayleigh ...
Erik Blasch
exaly +3 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Constant False Alarm Rate (CFAR) Detection in Weibull Environment
2007 IEEE 15th Signal Processing and Communications Applications, 2007In this work, the performance of N pulse radar receivers which use Post Integration (PI) and Binary Integration (Bl) algorithms is analysed in homogeneous Weibull environment. It is assumed that the shape parameter of the Weibull distribution is known a priori.
Uener, Muecahit K., Arslan, Zeynep
exaly +3 more sources
Variability Index Constant False Alarm Rate (VI-CFAR) for Sonar Target Detection
2008 International Conference on Signal Processing, Communications and Networking, 2008The sonar background environment is not homogeneous at all times but is often filled with in-homogeneities like multiple targets and reverberation edges. Cell Averaging Constant False Alarm Rate (CA-CFAR) gives optimum performance in a homogeneous environment but its performance degrades in presence of in-homogeneities.
exaly +2 more sources
Design of an Improved 2D-VI-CFAR Constant False Alarm Rate Detection Method
2025 IEEE 7th International Conference on Communications, Information System and Computer Engineering (CISCE)Yu Liu +5 more
exaly +2 more sources
A new distributed constant false alarm rate detector [PDF]
A new constant false alarm rate (CFAR) test termed signal-plus-order statistic CFAR (S+OS) using distributed sensors is developed. The sensor modeling assumes that the returns of the test cells of different sensors are all independent and identically ...
Viswanathan, R., Amirmehrabi, Hamid
exaly +2 more sources
Artificial intelligence applications to constant false alarm rate (CFAR) processing
The Record of the 1993 IEEE National Radar Conference, 2002False alarms are a significant problem in wide area surveillance radar. Many different constant false alarm rate (CFAR) algorithms have been developed to effectively deal with the various types of backgrounds that are encountered. However, any single algorithm is likely to be inadequate in a dynamically changing environment.
W. Baldygo +5 more
openaire +1 more source
Detection of exudates in fundus imagery using a constant false-alarm rate (CFAR) detector
SPIE Proceedings, 2014ABSTRACT Diabetic retinopathy is the leadi ng cause of blindness in adults in the United States. The presence of exudates in fundus imagery is the early sign of diabetic retinopathy so detection of these lesions is essential in preventing further ocular damage.
Manish Khanna, Elina Kapoor
openaire +1 more source
Comparative Performance Analysis of Constant False Alarm Rate Processors Based on Order Statistics
in this study, the detection performance of constant false alarm rate (CFAR) processors based on reference window cells censoring techniques in nonhomogeneous (interfering targets) environment was investigated. In homogeneous environment, the false alarm
Akaydin, Abdullah +3 more
exaly +2 more sources

