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检索条件"主题词=Detection algorithms"

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Optimisation of Gardner and non data-aided early-late (/spl lambda/ = 1/2) timing error detection algorithms

Optimisation of Gardner and non data-aided early-late (/spl ...

引用

IEEE Symposium on Computers and Communications (ISCC)

作者： R. Danesfahani T. Jeans Faculty of Engineering University of Kashan Kashan Iran School of Electronics Computing and Mathematics University of Surrey Guildford Surrey UK

The tracking performance of the Gardner algorithm and the non data-aided early-late (/spl lambda/ = 1/2) algorithm are made almost jitter-free in the presence of additive white-Gaussian noise. For this purpose, the newly developed combined tracking and parallel search (CTAPS) method has been adopted. Computer simulations show that the optimised algorithms maintain the correct timing error under the conditions that the original algorithms lose tracking. Unlike the bit error rate (BER) performance which is unacceptably high at low to medium signal-to-noise ratios (SNRs) when using the original algorithms, the BER performance of the optimised algorithms is close to the theoretical results. A superior tracking performance, a very fast acquisition time, and a low complexity are the features of the optimised algorithms.

关键词： Timing detection algorithms Additive white noise Error correction Pulse shaping methods Transmitters Doppler shift Matched filters Detectors Quadrature phase shift keying

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Network intrusion detection using machine learning anomaly detection algorithms

Network intrusion detection using machine learning anomaly d...

引用

IEEE Signal Processing and Communications Applications (SIU)

作者： M. Elif KarsligЕl A. Gökhan Yavuz M. Amaç Güvensan Khadija Hanifi Hasan Bank Bilgisayar Mühendisliği Bölümü Yıldız Teknik Üniversitesi İstanbul Türkiye Yildiz Teknik Universitesi Istanbul TR Bilgisayar Mühendisliği Bölümü Yıldız Teknik Universitesi İstanbul Türkiye

Attacks on the network are exceptional cases that are not observed in normal traffic behavior. In this work, in order to detect network attacks, using k-means algorithm a new semi-supervised anomaly detection system has been designed and implemented. During the training phase, normal samples were separated into clusters by applying k-means algorithm. Then, in order to be able to distinguish between normal and abnormal samples - according to their distances from the clusters' centers and using a validation dataset-a threshold value was calculated. New samples that are far from the clusters' centers more than the threshold value is detected as anomalies. We used NSL-KDD - a labelled dataset of network connection traces-for testing our method's effectiveness. The experiments result on the NSL-KDD data set, shows that we achieved an accuracy of 80.119%.

关键词： Dogs Intrusion detection Nanoelectromechanical systems Clustering algorithms Algorithm design and analysis Conferences detection algorithms

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Improved Signal To Noise Ratio And Computational Speed For Gradient-Based detection algorithms

Improved Signal To Noise Ratio And Computational Speed For G...

引用

IEEE International Conference on Robotics and Automation (ICRA)

作者： N. Barnes NICTA Canberra ACT Australia Department of Information Engineering Australian National University Australia

Image gradient-based feature detectors offer great advantages over their standard edge-only equivalents. In driver support systems research, the radial symmetry detection algorithm has given real-time results for speed sign recognition. The regular polygon detector is a scan line algorithm for these features facilitating recognition of other road signs such as stop and give way signs. Radial symmetry has also been applied to real-time face detection, and the polygon detector is showing promising results as a feature detector for SLAM. However, gradient-based feature detection is more sensitive to noise than standard edge-based algorithms. As the total gradient magnitude at a pixel decreases, the component of the gradient at that point that arises from image noise increases. When a pixel votes in its gradient direction out to an extended radius, its position is more likely to be inaccurate if the gradient magnitude is low. In this paper, we analyse the performance of the radial symmetry and regular polygon detector algorithms under changes to the threshold on gradient magnitude. We show that the number of pixels correctly voting on a circle is not greatly reduced by thresholds that decrease the total number of pixels that vote in the image to 20%. This greatly reduces the noise component in the image, with only slight impact on the signal. This improves the performance, particularly for the regular polygon detector where the voting mechanism is complex and constitutes a large amount of the processing per pixel. This facilitates a real-time implementation, which is presented here.

关键词： Signal to noise ratio detection algorithms Detectors Image edge detection Voting Computer vision Face detection Pixel Real time systems Roads

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A Comparative Analysis of Depth-Discontinuity and Mixed-Pixel detection algorithms

A Comparative Analysis of Depth-Discontinuity and Mixed-Pixe...

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International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT)

作者： Pingbo Tang Daniel Huber Burcu Akinci Carnegie Mellon University USA

Laser scanner measurements are corrupted by noise and artifacts that can undermine the performance of registration, segmentation, surface reconstruction, recognition, and other algorithms operating on the data. While much research has addressed laser scanner noise models, comparatively little is known about other artifacts, such as the mixed pixel effect, color-dependent range biases, and specular reflection effects. This paper focuses on the mixed pixel effect and the related challenge of detecting depth discontinuities in 3D data. While a number of algorithms have been proposed for detecting mixed pixels and depth discontinuities, there is no consensus on how well such algorithms perform or which algorithm performs best. This paper presents a comparative analysis of five mixed-pixel/discontinuity detection algorithms on real data sets. We find that an algorithm based on the surface normal angle has the best overall performance, but that no algorithm performs exceptionally well. Factors influencing algorithm performance are also discussed.

关键词： Algorithm design and analysis detection algorithms Laser modes Laser noise Noise measurement Surface reconstruction Surface emitting lasers Colored noise Optical reflection Acoustic reflection

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Methodology for validating blood pressure event detection algorithms

Methodology for validating blood pressure event detection al...

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

作者： L.T. Antonelli W.J. Ohley Rhode Island Univ. Kingston RI USA University of Rhode Island Kingston RI USA

The methodology for a generating a waveform test set and producing a statistical representation of blood pressure event detection algorithm performance is demonstrated. A subset of the Massachusetts General Hospital (MGH) database files has been selected as an illustrative group of waveforms representative of a range of clinical and physiological conditions. Several dicrotic notch detection algorithms were applied to three different blood pressure waveform test sets and the accuracy of detection was determined. Comparison of the algorithms' statistical performance for each test set led to the assembly of an appropriate grouping of physiological data for validation of blood pressure event detection techniques for a valid statistical representation of algorithm performance.

关键词： Blood pressure Event detection Databases Testing detection algorithms Electrocardiography Hospitals Medical tests Assembly Performance evaluation

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Evaluating Driving Fatigue detection algorithms Using Eye Tracking Glasses

Evaluating Driving Fatigue Detection Algorithms Using Eye Tr...

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International IEEE/EMBS Conference on Neural Engineering

作者： Xiang-Yu Gao Yu-Fei Zhang Wei-Long Zheng Bao-Liang Lu Dept. of Comput. Sci. & Eng. Shanghai Jiao Tong Univ. Shanghai China

ISBN: (纸本)9781467363877

Fatigue is a status of human brain activities, and driving fatigue detection is a topic of great interest all over the world. In this paper, we propose a measure of fatigue produced by eye tracking glasses, and use it as the ground truth to evaluate driving fatigue detection algorithms. Particularly, PERCLOS, which is the percentage of eye closure over the pupil over time, was calculated from eyelid movement data provided by eye tracking glasses. Experiments of a vigilance task were carried out in which both EOG signals and eyelid movement were recorded. The evaluation results of an effective EOG-based fatigue detection algorithm convinced us that our proposed measure is an appropriate candidate for evaluating driving fatigue detection algorithms.

关键词： Fatigue Glass Feature extraction Tracking detection algorithms Electrooculography Eyelids

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Complexity and efficiency of data detection algorithms for TD-SCDMA

Complexity and efficiency of data detection algorithms for T...

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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Jung-Lin Pan Jaeyoung Kwak A. Bultan Yuejin Huang D. Grieco InterDigital Communication Corporation Melville NY USA

This paper presents computational complexity and memory counts for various data detection algorithms for TD-SCDMA. The algorithms include joint detection (JD) using Cholesky decomposition, successive interference cancellation based joint detection (SIC-JD), JD using fast Fourier transform (FFT-JD), single-user detection (SUD) and matched-filter based SIC (MF-SIC).

关键词： detection algorithms Time division synchronous code division multiple access Multiuser detection Downlink Silicon carbide Computational complexity Interference cancellation Fast Fourier transforms Multiaccess communication Matched filters

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Obstacle detection algorithms with dealing with vagueness of sensing signals

Obstacle detection algorithms with dealing with vagueness of...

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IEEE International Vehicle Electronics Conference

作者： H. Takahashi K. Fujimoto Nissan Research Center Nissan Motor Company Limited Yokosuka Kanagawa Japan

This paper presents the new method to deal with both range data and image data with data vagueness in sensor fusion process. Using laser range finder in this study, range data and image data are obtained. In our method, comparing range data and road model without any obstacles, the possibility index of obstacle existence is defined. Sensor fusion both range data and image data are carried out considering data vagueness. The method is tested by real data and evaluated.

关键词： detection algorithms Roads Object detection Intelligent sensors Intelligent systems Sensor fusion Laser modes Intelligent vehicles Laser radar Laser beams

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A Comparison of Outlier detection algorithms for Hydro-Acoustic Positioning

A Comparison of Outlier Detection Algorithms for Hydro-Acous...

引用

OCEANS

作者： Kjell Magne Fauske Oddvar Hallingstad University Graduate Center Kjeller Norway

In this paper the outlier detection problem in hydro-acoustic positioning is analyzed. A set of methods for detecting them are presented and evaluated by simulation

关键词： detection algorithms Acoustic measurements Position measurement Navigation Filtering Distortion measurement Acoustic distortion Observers Acoustic signal detection Underwater vehicles

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Reduced-Dimension Single Data Set detection algorithms

Reduced-Dimension Single Data Set Detection Algorithms

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IEEE Asia-Pacific Conference on Circuits and Systems

作者： Chin-Heng Lim University of Edinburgh UK

The detection of a signal in coloured Gaussian interference is relevant in many fields such as radar, communications and biomedical technology. In practice, the interference covariance matrix is estimated from training data, which must be target free and statistically homogeneous with respect to the test data. These conditions are often not satisfied, which degrades the detection performance. Single data set algorithms have been proposed to circumvent this problem. In this paper, the issues associated with applying reduced-dimension techniques to them are studied and these reduced-dimension detectors' probabilities of false alarm and detection are derived. They have the highly desirable CFAR property and theoretical results are verified by simulations, which also show that they are comparable to traditional detectors

关键词： detection algorithms Radar detection Interference Signal detection Communications technology Covariance matrix Training data Testing Degradation Detectors

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