Results 31 to 40 of about 879,921 (312)
Energy-based Out-of-distribution Detection
CoRR, 2020 Determining whether inputs are out-of-distribution (OOD) is an essential building block for safely deploying machine learning models in the open world. However, previous methods relying on the softmax confidence score suffer from overconfident posterior distributions for OOD data.
Liu, W, Wang, X, Owens, JD, Li, Y
openaire +4 more sources
Improved energy detector for random signals in Gaussian noise [PDF]
, 2010 New and improved energy detector for random signals in Gaussian noise is proposed by replacing the squaring operation of the signal amplitude in the conventional energy detector with an arbitrary positive power operation.
Chen, Yunfei
core +1 more source
High-Efficiency FCME-Based Noise Power Estimation for Long-Term and Wide-Band Spectrum Measurements
IEEE Access, 2021 Statistics in terms of spectrum occupancy are useful for efficient and smart dynamic spectrum sharing, and the statistics can be obtained by long-term and wide-band spectrum measurements.
Hiroki Iwata +3 more
doaj +1 more source
A Low-power CMOS 2-PPM Demodulator for Energy Detection IR-UWB Receivers [PDF]
, 2007 This paper presents an integrated 2-PPM CMOS demodulator for non-coherent energy detection receivers which inherently provides analog-to-digital conversion.
Crepaldi, Marco +7 more
core +1 more source
Nanoscale Research Letters, 2017 Pure aluminum oxide (Al2O3) and zinc aluminum oxide (Zn x Al1-x O) thin films were deposited by atomic layer deposition (ALD). The microstructure and optical band gaps (E g ) of the Zn x Al1-x O (0.2 ≤ x ≤ 1) films were studied by X-ray diffractometer ...
Baojun Yan +5 more
doaj +1 more source
A framework for use of wireless sensor networks in forest fire detection and monitoring [PDF]
, 2012 Forest fires are one of the main causes of environmental degradation nowadays. Current surveillance systems for forest fires lack in supporting real-time monitoring of every point of a region at all times and early detection of fire threats.
Korpeoglu, Ibrahim +5 more
core +1 more source
MSE lower bounds conditioned by the energy detector [PDF]
, 2007 A wide variety of processing incorporates a binary detection test that restricts the set of observations for parameter estimation. This statistical conditioning must be taken into account to compute the Cramer-Rao bound (CRB) and more generally, lower ...
Chaumette, Eric +6 more
core +1 more source
Spectrum sensing-focused cognitive radio network for 5G revolution
Frontiers in Environmental Science, 2023 The cognitive radio network (CRN), an instrumental part of the next-generation wireless communication systems, is mainly dependent on spectrum sensing to function properly.
Farhan Ali, He Yigang, He Yigang
doaj +1 more source
IEEE Access, 2021 The paper investigates statistical distribution testing-based detection methods in an intermittent signal detection scenario. The relevance of the research is driven by 5G networks based on packet transmission, incorporating the concept of cognitive ...
Jakub Nikonowicz, Mieczyslaw Jessa
doaj +1 more source
Deep RP-CNN for Burst Signal Detection in Cognitive Radios
IEEE Access, 2020 This article proposes a convolutional neural network (CNN)-based signal detection scheme using image encoding techniques for burst signals in wireless networks.
Dongho Seo, Haewoon Nam
doaj +1 more source