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检索条件"主题词=Detection Algorithms"

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Application of Cellular Neural Network to Contour detection in QuickBird Remotely Sensing Images Associated with Mathematical Morphology

Application of Cellular Neural Network to Contour Detection ...

引用

International Workshop on Education Technology and Computer Science, ETCS

作者： Jiayin Kang Wenjuan Zhang School of Electronics Engineering Huaihai Institute of Technology Lianyungang China School of Computer Engineering Huaihai Institute of Technology Lianyungang China

For the purpose of extracting the features in high spatial resolution QuickBird panchromatic images, and of using the images into various fields, this paper presented a method to detect the contour of features in QuickBird remotely sensing images based on mathematical morphology (MM) integrated with cellular neural network (CNN). Firstly, remove the noise in images using open-closing morphological filter; secondly, utilize a CNN-based contour detection algorithm to detect the contour in the filtered images. The experimental results show that contour detection based on proposed approach is more effective than that of either morphological gradient algorithm-based or CNN contour detection algorithm based.

关键词： Cellular neural networks Morphology Educational technology Spatial resolution detection algorithms Gray-scale Application software Feature extraction Image processing Image analysis

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An Effective Frame detection and FFT Window Point Tracking Algorithm for Digital Radio Mondiale Receivers

An Effective Frame Detection and FFT Window Point Tracking A...

引用

IEEE International Conference on Consumer Electronics (ICCE)

作者： Seong-Jun Kim Kyung-Won Park Se-Ho Park Ki-Won Kwon Jong-Ho Paik Korea Electronics and Technology Institute Seoul South Korea

Digital Radio Mondiale (DRM) is an OFDM-based digital radio broadcasting system for the frequency bands below 30MHz. ODFM systems are sensitive to synchronization errors, which cause inter-carrier interference (ICI). In this paper, a frame detection algorithm and FFT window point tracking method for low-power portable DRM receivers are presented.

关键词： Digital Radio Mondiale Receivers Frequency synchronization OFDM Robustness Radio broadcasting Digital communication detection algorithms Proposals Frequency estimation

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AnomBench: A Benchmark for Volume-Based Internet Anomaly detection

AnomBench: A Benchmark for Volume-Based Internet Anomaly Det...

引用

GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

作者： Shashank Shanbhag Tilman Wolf Department of Electrical and Computer Engineering University of Massachusetts Amherst MA USA

Developing algorithms to detect anomalies in network traffic is an important goal to achieve secure and efficient operation of the Internet. To evaluate different algorithms, it is crucial to have a set of standardized test cases. We propose a benchmark suite called "AnomBench" that consists of sixteen different traffic scenarios that contain various different traffic anomalies. We describe why these scenarios are representative and show the results of a prototype implementation on DETERlab.

关键词： Internet Telecommunication traffic detection algorithms Prototypes Traffic control IP networks Benchmark testing Intrusion detection Machine learning Bandwidth

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Partial detection for multiple antenna cooperation

Partial detection for multiple antenna cooperation

引用

Annual Conference on Information Sciences and Systems (CISS)

作者： Kiarash Amiri Joseph R. Cavallaro Center of Multimedia Communication Department of Electrical and Computer Engineering Rice University Houston TX USA

Multi-antenna relays can significantly increase the speed and reliability of wireless systems. However, because of the complexity of MIMO detection, there is considerable overhead in implementing a MIMO relay if the conventional detect-and-forward strategy is used. To address this challenge, we propose a novel cooperative partial detection (CPD) strategy that partitions the detection task between the relay and the destination. CPD leverages the structure of the tree-based close-to-ML MIMO detectors, and modifies the tree traversal so that instead of visiting all the levels of the tree, only a subset of the levels, thus a subset of the transmitted streams, are visited. This novel approach reduces the tree levels, i.e. dimensions, in both the relay and the destination. Moreover, CPD provides a flexible method to control the level of partitioning between the relay and the destination, and thus, adjust the detection computational complexity in the relay and the destination. Monte-Carlo simulation results show that, under equal transmit power and complexity constraint in the destination, CPD achieves a better BER performance compared to the non-relay scenario, with limited computational overhead in the relay.

关键词： Relays MIMO Detectors Computational complexity Power system relaying Decoding detection algorithms Multimedia communication Multimedia systems Bit error rate

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The detection of Frequency Hopping Signal Using Compressive Sensing

The Detection of Frequency Hopping Signal Using Compressive ...

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International Conference on Information Engineering and Computer Science (ICIECS)

作者： Jia Yuan Pengwu Tian Hongyi Yu Department of Communication Engineering I.T. Institute of Zhengzhou Zhengzhou China

Compressive sensing (CS) creates a new framework of signal reconstruction from a smaller set of incoherent projection compared with the traditional Nyquist-rate sampling theory. Recently, it has been shown that CS can solve some signal processing problems given incoherent measurements without reconstructing signals. Moreover, the number of measurements for most compressive signal processing application such as detection, estimation and classification is lower than that necessary for signal reconstruction. Based on CS, this paper presents a novel detection algorithm of frequency hopping (FH) signals. Given the hop interval, the FH signals can be identified and the hopping frequencies can be estimated with a tiny number of measurements. Simulation results demonstrate that the method is effective and efficient.

关键词： Signal processing Frequency estimation Cities and towns Spread spectrum communication Signal reconstruction Signal processing algorithms detection algorithms Signal sampling Frequency measurement Security

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Robust voice activity detection algorithm using spectrum estimation and dynamic thresholding

Robust voice activity detection algorithm using spectrum est...

引用

IEEE Latin-American Conference on Communications, LATINCOM

作者： Efrain Zenteno Manuel Sotomayor Telecommunications Engineering Universidad Católica San Pablo Arequipa Peru

An algorithm for voice activity detection (VAD) is presented in this paper, it uses the classical short time Fourier transform (STFT) followed by dynamic thresholding over the noise floor which allows accurate determination for voiced/unvoiced frame. This algorithm has also been implemented in a DSP plataform to evaluate its performance in real time, where results have shown that such method presents accurate voiced/unvoiced determination under unknown signal to noise ratio (SNR) conditions.

关键词： Robustness detection algorithms Spectral analysis Frequency Speech analysis Fourier transforms Signal to noise ratio Speech processing Spectrogram Speech enhancement

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Applying an Intrusion detection Algorithm to Wireless Sensor Networks

Applying an Intrusion Detection Algorithm to Wireless Sensor...

引用

International Workshop on Knowledge Discovery and Data Mining (WKDD)

作者： Qi Wang Shu Wang Zhonglou Meng Department of Electronics and Information Engineering Huazhong University of Science and Technology Wuhan China

Although static sensor nodes have low computation and communication capabilities, they have specific properties, and can acquire stable neighboring nodespsila information, which can be used for detection of anomalies in networking and behaviors of the neighbor nodes, thus providing security for wireless sensor networks. In many attacks against sensor networks, the first step for an attacker is to impersonate itself as a legitimate node within the network. To make a sensor node capable of detecting an intruder, a simple dynamic statistical model of the neighboring nodes is needed to build, together with a low-complexity detection algorithm to monitor received packet power levels. A detection algorithm based on security scheme for wireless sensor networks is introduced in this paper.

关键词： Intrusion detection Wireless sensor networks detection algorithms Communication system security Mobile ad hoc networks Data mining Data engineering Knowledge engineering Computer networks Information security

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Weak signal detection in hyperspectral imagery using sparse matrix transform (smt) covariance estimation

Weak signal detection in hyperspectral imagery using sparse ...

引用

Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS

作者： Guangzhi Cao Charles A. Bouman James Theiler School of Electrical and Computer Engineering Purdue University West Lafayette IN USA Space and Remote Sensing Sciences Los Alamos National Laboratory Los Alamos NM USA

Many detection algorithms in hyperspectral image analysis, from well-characterized gaseous and solid targets to deliberately uncharacterized anomalies and anomalous changes, depend on accurately estimating the covariance matrix of the background. In practice, the background covariance is estimated from samples in the image, and imprecision in this estimate can lead to a loss of detection power. In this paper, we describe the sparse matrix transform (SMT) and investigate its utility for estimating the covariance matrix from a limited number of samples. The SMT is formed by a product of pairwise coordinate (Givens) rotations. Experiments on hyperspectral data show that the estimate accurately reproduces even small eigenvalues and eigenvectors. In particular, we find that using the SMT to estimate the covariance matrix used in the adaptive matched filter leads to consistently higher signal-to-clutter ratios.

关键词： Signal detection Hyperspectral imaging Sparse matrices Surface-mount technology Covariance matrix detection algorithms Image analysis Solids Eigenvalues and eigenfunctions Matched filters

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An Adaptive Algorithm for Harris Corner detection

An Adaptive Algorithm for Harris Corner Detection

引用

International Conference on Computational Intelligence and Software Engineering (CiSE)

作者： Zhiyong Ye Yijian Pei Jihong Shi School of Information Yunnan University Kunming China

Corner points are interesting as they are formed from two or more edges and edges usually define the boundary between two different objects or parts of the same objects. In this paper we discuss the theory of the Harris corner detection and point out its disadvantage. Then it proposes an adaptive algorithm for Harris corner detection based on the neighboring point eliminating method. It reduces the amount of the calculation, and makes the corners distributing well-proportion so that avoids too many corners stay together. Experimental results show that the algorithm can detect corners more uniform distribution, and can be used in some fact applications such as image registration well.

关键词： Adaptive algorithm Image edge detection detection algorithms Object detection Change detection algorithms Image registration Eigenvalues and eigenfunctions Feature extraction Brightness Layout

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Pavement Cracks detection Based on FDWT

Pavement Cracks Detection Based on FDWT

引用

International Conference on Computational Intelligence and Software Engineering (CiSE)

作者： Changxia Ma Wenming Wang Chunxia Zhao Feng Di Zhengli Zhu Department of Computer Science Huaihai Institute of Technology Lianyungang China School of Computer Science and Technology Nanjing University of Science and Technology of PLA Nanjing China Bereau of Water Resources Lianyungang China

Automatic detection of road cracks has been a hot topic since it reduces economic loses. It is not easy to get efficient detection algorithms because of complexity, diversity of pavement images and pavement distress's weak information. In this paper, a new approach of pavement cracks detection based on FDWT (fractional differential and wavelet transform) is proposed. Fractional differential can effectively enhance high-frequency, medium-frequency signals and non-linearly preserve low-frequency signals. After fractional differential covering module is constructed and applied to road images, pavement crack reinforcement is implemented even if the crack is weak signal in smooth area. Then in order to filter noise, wavelet transform is carried out. This approach can reinforce availably pavement images and get better effect especial for weak crack information in smooth area. Experimental results proved that the proposed detection was a valid method for the different road crack image even if there is any noise exists.

关键词： Roads Wavelet transforms Computer science Surface cracks detection algorithms Image processing 1f noise Water resources Image analysis Machine vision

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