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检索条件"主题词=detection algorithms"

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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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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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A Fault-Tolerant Target Location detection Algorithm in Sensor Networks

A Fault-Tolerant Target Location Detection Algorithm in Sens...

引用

International Conference on Sensor Technologies and Applications, SensorComm

作者： Chiu-Kuo Liang Chih-Shiuan Li Department of Computer Science and Information Engineering Chung Hua University Hsinchu Taiwan

This paper focuses on the fault-tolerant target detection and localization in sensor networks. Typical applications include the habitat monitoring and roadway safety warning. We propose an algorithm for target detection and localization to improve the target position accuracy. Our algorithm is purely localized and thus is suitable for large scale of sensor networks. The computational overhead is low since the detection algorithm is based on a simple clustering technique which only simple numerical operations are involved. Simulation results show that our algorithm can decrease the false alarm rate and improve the target localization accuracy when as many as 30% sensors become faulty. Therefore, our algorithm achieves a great improvement over the previous algorithms.

关键词： Fault tolerance detection algorithms Clustering algorithms Object detection Batteries Base stations Fault diagnosis Fault detection Application software Computer science

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Novel Voice Activity detection Based on Vector Quantization

Novel Voice Activity Detection Based on Vector Quantization

引用

International Conference on Computer Modeling and Simulation, UKSIM

作者： Meysam Asgari Abolghasem Sayadian Farhad Tehranipour Ali Mostafavi Department of Electrical Engineering Amirkabir University of Technology슠 Tehran Iran Department of Electrical Engineering University of Binningham Birmingham UK

In this paper we develop a voice activity detection algorithm based on spectrum estimation of speech and non-speech segments using vector quantization method. In this method, we try to classify entry speech signal to speech and non-speech classes. Commonly, the performance of the voice activity detection (VAD) algorithms in non-stationary background noise is not so satisfying under low SNR, so we try to concentrate our study on this issue. The model of a non-speech is a codebook generated from noise and model of speech is several codebook generated from speech contaminated by noise in some different SNR. The labeling is performed by evaluating the distortions between the entry signal samples and the designed models. Our simulation results based on the Persian speech database show that the VQ based VAD is high performance in low SNR conditions (SNR<5 dB).

关键词： Vector quantization Signal to noise ratio Noise generators Speech enhancement detection algorithms Spectral analysis Background noise Labeling Performance evaluation Distortion

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Motion estimation of projected spatio-temporal slice for shot boundary detection

Motion estimation of projected spatio-temporal slice for sho...

引用

International Conference on Information, Communications and Signal Processing

作者： Qingxiu Du Haibo Zheng Shuwu Zhang Institute of Automation Chinese Academy and Sciences Beijing China

ISBN: (纸本)9781424446568

In most of the existing shot boundary detection algorithms, the false/miss detection problem caused by motion is very serious. In this paper, firstly, we propose a new spatio-temporal slice called projected spatio-temporal slice (PSTS) that can effectively eliminate disturbance caused by motion. Then we present approaches for detecting camera cuts, fades and dissolves based on motion estimation of PSTS. Experimental results indicate that no matter under what kind of motion, it can detect shot transitions fast and effectively, while high recall and precision rate achieved.

关键词： Motion estimation Gunshot detection systems Motion detection Histograms Cameras detection algorithms Transform coding Video compression Availability Automation

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Development of the irregular pulse detection method in daily life using wearable photoplethysmographic sensor

Development of the irregular pulse detection method in daily...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Takuji Suzuki Ken-ichi Kameyama Toshiyo Tamura Corporate Research and Development Center Toshiba Corporation Kanagawa Japan Graduate School of Engineering Chiba University Chiba Japan

We developed an arrhythmic pulse detection algorithm from photoplethysmography (PPG) measured in daily life using a wearable PPG sensor, in order to provide a simpler device than a Holter electrocardiograph (ECG). However, PPG is very sensitive to artifacts in daily life, e.g. body movement. First, we analyzed the correlation between the ECG and the PPG measured at the same time when the arrhythmic heartbeat occurred in daily life. Using the correlation characteristics, we developed a detection algorithm of the arrhythmic pulse to distinguish the artifacts ascribable to body movement and evaluated its accuracy. The algorithm detects pulse-to-pulse interval (PPI) and pulse amplitude by a beat to distinguish between irregular PPI by arrhythmic pulse and that by the artifact.

关键词： Wearable sensors Electrocardiography Heart beat detection algorithms Pulse measurements Time measurement Heart rate Rail to rail inputs Medical services Hospitals

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Tiling the world — Efficient 4D conflict detection for large scale scenarios

Tiling the world — Efficient 4D conflict detection for larg...

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Conference on Digital Avionics Systems (DASC)

作者： Alexander Kuenz Niklas Peinecke DLR Institute for Flight Guidance Brunswick Germany

ISBN: (纸本)9781424440771

Today, 4D-trajectory-based operations and international harmonization for global air traffic management (ATM) systems are the main driving concept elements for the modernization of ATM. The availability of ground-based 4D trajectories leads to new possibilities allowing early conflict detection and efficient conflict avoidance. Nevertheless, efficient conflict detection becomes a big challenge when dealing with large amounts of detailed trajectories in a global environment. This paper proposes a new representation of 4D trajectories facilitating a high performance conflict detection algorithm. The proposed algorithm subdivides the initial envelope of all trajectories in smaller 4D tiles until each tile contains only one trajectory. If that is not possible before reaching a predefined minimum tile size, a conflict is detected. Since the algorithm's runtime is only marginally influenced by the scenario's complexity, this technique is particularly efficient for large scale scenarios.

关键词： Large-scale systems Tiles Tree data structures Trajectory Binary trees Aircraft Availability detection algorithms Runtime Technology planning

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An Improved Circle detection Method Based on Right Triangles Inscribed in a Circle

An Improved Circle Detection Method Based on Right Triangles...

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Computer Science and Information Engineering, CSIE, WRI World Congress on FLAGGED

作者： Fei Shang Jinwei Liu Xiao Zhang Di Tian College of Instrumentation and Electrical Engineering Jilin University Changchun China

An efficient method of detecting circles, called semi- random detection (SRD) based on right triangles inscribed in a circle (RTIC), is presented. Above all, a 2D compressed array space based on the positions of valid pixels (ASPVP) is constructed. And then four points searching method is used to search the corresponding right triangles. After employing a few specific and effective tools such as radius constraint, error distance judgment, data merging etc., real circle check is applied to get the real circles. Some composite images with different levels of noises and some real images have been taken to test the performance. Experimental results show that the proposed algorithm is fast, reliable and spatially compact.

关键词： Voting Image edge detection Merging Computer vision Computer science Educational institutions Instruments Information geometry Detectors 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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