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检索条件"主题词=detection Algorithms"

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On-line detection of the number of narrowband signals with a uniform linear array

On-line detection of the number of narrowband signals with a...

引用

European Signal Processing Conference (EUSIPCO)

作者： Jingmin Xin Nanning Zheng Akira Sano Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University Xi'an China Keio Gijuku Daigaku Minato-ku Tokyo JP

ISBN: (纸本)9782839904506

For any practical direction estimation and tracking system in array processing, estimating the number of incident signals accurately and tracking its possible changes in an on-line way is a critical requirement. In this paper, a new QR-based adaptive detection algorithm is proposed to estimate the coherent/incoherent narrowband signals impinging on a uniform linear array (ULA), where the updating of eigenvalues and the threshold setting are avoided. The effectiveness of the proposed method is verified through numerical examples, and simulation results show that the proposed method has good detection performance to track the number of suddenly appearing/disappearing incident signals or that of closely-spaced signals with time-varying directions.

关键词： Europe Lead Narrowband Arrays Abstracts detection algorithms Radio access networks

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New data detection method for a HDD with patterned media

New data detection method for a HDD with patterned media

引用

IEEE SENSORS

作者： Dong-Ki Min Hoon-Sang Oh In- Kyeong Yoo Samsung Electronics Semiconductor Research and Development Center Yongin si South Korea

New bit array pattern and detection algorithm for hard disk drive (HDD) with patterned media are proposed. The width of the reader is larger than a bit width, of which the fabrication cost is lower than a bit-size compatible reader. It can read several sub-tracks simultaneously, in which the bits are patterned with different phase. The readback signal is superposed by each bit response and we can extract the bit information easily because of its phase difference.

关键词： Costs Magnetic heads Noise reduction Phase noise Semiconductor device noise Perpendicular magnetic recording Manufacturing Magnetic recording Thermal stability detection algorithms

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Wire detection in low-altitude, urban, and low-quality video frames

Wire detection in low-altitude, urban, and low-quality video...

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International Conference on Pattern Recognition

作者： Joshua Candamo Dmitry Goldgof University of South Florida

ISBN: (纸本)9781424421749

We introduce a novel wire detection algorithm for use in low altitude urban aircraft reconnaissance. A line profile model is described and effectively used to discriminate wires from other linear patterns commonly found in urban scenes. The algorithm is able to cope with highly cluttered backgrounds, moderate rain and mist, and with no stabilization of camera. The studied domain is of particular interest to urban search and rescue and military reconnaissance operations. The algorithmpsilas receiver operating characteristic curve is shown, based on a multi-site dataset with 10160 wires spanning in 5576 frames. Encouraging results show up to 37% detection improvement over a previously published baseline algorithm for comparable false alarm rates.

关键词： Wire Image edge detection Reconnaissance Layout Aircraft manufacture Military aircraft Aircraft navigation detection algorithms Detectors Filtering

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A DCT-based Change detection Method for Multi-Temporal SAR Images

A DCT-based Change Detection Method for Multi-Temporal SAR I...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Hongtao Yu Zhiping Lin Geok Ling Chai Chye Hwang Yan Nalliah Raman School of EEE Nanyang Technological University Singapore DSO National Laboratories Singapore

This paper aims at effectively detecting the changes in multi-temporal synthetic aperture radar (SAR) images. Since pixel-based method does not sufficiently utilize the correlation between pixels, it usually may only be used in some specific applications. We propose a change detection method that is based upon discrete cosine transform (DCT) classification. It can utilize the correlation between pixels and eliminate unimportant or nuisance forms of changes. It generates a threshold automatically in DCT classification according to the relationship between DCT coefficient and pixel's gray level. In order to eliminate the block effect, we check pixels not only within the target block, but also inside the neighborhood window around the target block. Experimental results show that the proposed method outperforms some recently published pixel-based methods.

关键词： Discrete cosine transforms Pixel Radar detection Laboratories Speckle detection algorithms Image generation Synthetic aperture radar Monitoring Adaptive optics

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A Novel Real-Time Commercial detection Scheme

A Novel Real-Time Commercial Detection Scheme

引用

International Conference on Innovative Computing, Information and Control (ICICIC)

作者： Xiang Wang Zongming Guo Institute of Computer Science and Technology Peking University Beijing China

Nowadays, millions of people's living and work habits are affected by TV commercials. A feature-based real-time TV commercial detection algorithm is proposed in this work. In terms of the combination of the visual and acoustic features, and the temporal information, we detect the end and the start boundary of the commercial separately. Then, in order to refine the detecting result further, we address a set of basic features that is easy to distinguish the commercial from general programs. Based on these features, a finite automation is build simultaneously, which well illustrates our detection method clearly. The experimental results show that our algorithm can yield better recall (96.47%) and precision (97.27%) by comparing with current main approaches.

关键词： Feature extraction TV Automation Videos Doped fiber amplifiers detection algorithms Visualization

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Interest points detection based on local frequency information of an image

Interest points detection based on local frequency informati...

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IEEE Southeastcon

作者： Jesmin F. Khan Reza R. Adhami Sharif M. A. Bhuiyan Department of Electrical and Computer Engineering University of Alabama Huntsville Huntsville USA

In this paper we propose a novel technique for detecting rotation and scale invariant interest points from the local frequency representation of an image. Local or instantaneous frequency is the spatial derivative of the local phase, where the local phase of any signal can be found from its Hilbert transform. Local frequency estimation can detect edge, ridge, corner and texture information at the same time and shows high values at those dominant features of an image. For each pixel, we select an appropriate width of the window for computing the derivative of the phase. In order to select the width of the window for any given pixel, we make use of the measure of the extent to which the phases, in the neighborhood of that pixel, are in the same direction. The local frequency map, thus obtained, is then thresholded by employing a global thresholding approach to detect the interest or feature points. Repeatability rate, a performance evaluation criterion for an interest points detector, is used to check the geometric stability of the proposed method under different transformations. We present simulation results of the detection of feature points from an image and the repeatability rate as a function of image rotation and scale changes. The results prove the efficacy of the proposed feature points detection algorithm.

关键词： Image edge detection Detectors Computer vision Parametric statistics Frequency estimation Phase measurement Stability criteria detection algorithms Terminology Robustness

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Polynomial based approach in analysis and detection of surgeon's motions

Polynomial based approach in analysis and detection of surge...

引用

International Conference on Control, Automation, Robotics and Vision (ICARCV)

作者： J. Jakubiak S. Nomm J. Vain F. Miyawaki Institute of Cybernetics at TUT Tallinn Estonia Graduate School of Advanced Science and Technology Tokyo Denki University Hiki Saitama Japan

In the paper a problem of analyzing surgeon's right hand wrist trajectory during laparoscopic operation is considered. Based on the results of the analysis detection algorithms to recognize six motions are developed. The motions can be considered as primitives of a surgery from the human scrub nurse point of view. In the analysis, to represent motions the third order polynomials are used. The two proposed algorithms are based on Kohonen maps and boosted decision trees. The performance of the algorithms is tested on surgical operation data.

关键词： Polynomials Motion detection Surges Motion analysis Surgery Wrist Laparoscopes Algorithm design and analysis detection algorithms Humans

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detection of binary signal with both impulsive and Gaussian interference

Detection of binary signal with both impulsive and Gaussian ...

引用

International Conference on Communications and Networking in China (CHINACOM)

作者： Kang Wang Guomin Zhou Zhenmao Xiang Basic Courses Department Zhejiang Police College Hangzhou China

In communication environments such as power line channel, impulsive noise greatly deteriorates the performance of detection algorithm based on Gauss optimization. This paper introduces a symmetric alpha stable (SalphaS) distribution to model a statistical model of impulsive noise, and considers that interference in the receiver is a mixture of additional white Gaussian noise (AWGN) and SalphaS noise. Based on this noise model, a nonlinear detector is proposed through the numerical calculation method. Simulations show that the proposed detector is robust, and its performance is slightly worse than the locally optimum (LO) in non-Gaussian environment, however, the key parameters do not need known in advance and its computational complexity is reduced greatly.

关键词： Signal detection Interference Gaussian noise Additive white noise Working environment noise AWGN Detectors detection algorithms Gaussian channels Computational modeling

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A Novel Reputation Model for Malicious Node detection in Wireless Sensor Network

A Novel Reputation Model for Malicious Node Detection in Wir...

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International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Guisheng Yin Guang Yang Yang Wu Xiang Yu Dongmei Zuo College of Computer Science and Technology Harbin Engineering University Harbin Heilongjiang China Information Security Research Center Harbin Engineering University Harbin Heilongjiang China

With the development of WSNs in the military and commercial fields, the security of WSNs is becoming more and more important. The security threats of wireless sensor networks (WSNs) come from not only the attacks of external attackers but also the byzantine behaviors and selfish behaviors of internal nodes. The classical security mechanisms, namely cryptography and authentication, can prevent some outsider attacks, however, they are noneffective to the attacks and the anomaly behaviors of internal nodes. A reputation-based model for malicious node detection in WSNs is proposed in this paper. In this model, the beta distribution is used to describe the reputation distribution, and the indirect reliability of third-party nodes is introduced. The simulation results show that the proposed model has better performance in terms of resisting the malicious deceit behaviors of high credit-grade nodes.

关键词： Wireless sensor networks Educational institutions Computer science Routing Information security Condition monitoring detection algorithms Military computing Computer security Cryptography

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A Novel Algorithm of Blind detection of Frequency Hopping Signal Based on Second-Order Cyclostationarity

A Novel Algorithm of Blind Detection of Frequency Hopping Si...

引用

Congress on Image and Signal Processing, CISP

作者： Haining Fan Ying Guo Yaohua Xu

An algorithm to blindly detect frequency hopping (FH) signals corrupted by white Gaussian noise (WGN) is presented. Any parameters of FH are assumed to be unknown, and the noise power can be either known or unknown. The algorithm is based on the difference in cyclostationarity (CS) between FH signal and WGN. The module of estimation of cyclic autocorrelation is picked up with available received signal as the test statistic. A WGN of which power equals to the average power of received signal is constructed at the received end, and then the maximum module of estimation of cyclic autocorrelation is computed with this WGN as the detection threshold. Simulation results have proved that the proposed algorithm is adequate to the environments in which signal-to-noise ratio (SNR) is higher than -3dB.

关键词： Frequency Autocorrelation Signal processing algorithms Signal detection detection algorithms Signal processing Power engineering and energy Testing Signal analysis Radio communication countermeasures

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