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检索条件"主题词=Detection algorithms"

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Optimal detection in MIMO Systems Using Spatial Sigma-Delta ADCs

Optimal Detection in MIMO Systems Using Spatial Sigma-Delta ...

引用

Asilomar Conference on Signals, Systems & Computers

作者： Toan-Van Nguyen Sajjad Nassirpour Italo Atzeni Antti Tölli A. Lee Swindlehurst Duy H. N. Nguyen Department of Electrical and Computer Engineering San Diego State University San Diego CA USA Centre for Wireless Communications University of Oulu Finland Department of Electrical Engineering and Computer Science University of California Irvine CA USA

ISBN: (数字)9798350354058

ISBN: (纸本)9798350354065

The spatial Sigma-Delta architecture can be used to reduce the quantization noise and thus improve the effective resolution of few-bit analog-to-digital converters (ADCs) for certain spatial frequencies of interest. This paper proposes a novel data detection scheme based on the variational Bayes (VB) inference framework for multiple-input multiple-output (MIMO) systems that utilize first-order spatial Sigma-Delta ADCs. We derive a closed-form expression to approximate the posterior distributions of the transmitted data symbols, which are then used for their estimation. Simulation results show that the proposed detection scheme achieves a detection performance comparable to unquantized systems and has a lower symbol error rate (SER) than the conventional quantized VB and linear minimum mean-squared error (LMMSE) methods. The effects of the azimuth range, and the antenna spacing and wavelength on the SER performance of all detection algorithms are also extensively analyzed.

关键词： Sigma-delta modulation Quantization (signal) Simulation Noise Symbols Massive MIMO Bayes methods Iterative methods detection algorithms Spatial resolution

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Anomaly detection using impedance measurements on the boundary

Anomaly detection using impedance measurements on the bounda...

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

作者： Y.G. Cho O. Kwon J.K. Seo E.J. Woo J.R. Yoon Graduate School of East-West Medical Sciences Kyung Hee University Kyongju South Korea Department of Mathematics Yonsei University Seoul South Korea School of Electronics and Information Kyung Hee University Kyongju South Korea School of Mathematics Korea Institute of Advanced Study Seoul South Korea

We describe a new anomaly detection algorithm based on an electrical impedance tomography (EIT) technique. When only the boundary current and voltage measurements are available, it is not practically feasible to reconstruct accurate high-resolution cross-sectional resistivity images of a subject. In this paper, we focus our attention on the detection of the location and size of anomalies with resistivity values different from the background tissues. We show the performance of the algorithm from experimental results using a 32-channel EIT system and saline phantoms. The algorithm is applicable to the detection of cancerous tissues in the breast.

关键词： Impedance measurement Conductivity Tomography Biomedical imaging detection algorithms Image reconstruction Mathematics Imaging phantoms Cancer detection Breast

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The Research on Collision detection Algorithm Based on Simulated Annealing in Visual Scene Simulation of Missile Attack

The Research on Collision Detection Algorithm Based on Simul...

引用

International Conference on Information Technology and Computer Science, ITCS

作者： Ziying Wang Ping Song Kejie Li Intelligent Robotics Institute School of AeroSpace Science and Engineering Beijing Institute of Technology Beijing China

In this paper, a new collision detection algorithm based on simulated annealing algorithm which is effective in searching optimal solution is presented. Basic principle of this new collision detection algorithm is as follows: The time variant parameter used for establishing objective function based on kinetic equation of missile and attacked objective is extracted firstly; Secondly, objective function adopted as condition of collision detection is constructed availing of extracted parameter; Finally, the optimal solution of objective function is got based on simulated annealing algorithm, and whether the collision happens is determined by the optimal solution. The simulated result proves this new algorithm is feasible.

关键词： detection algorithms Simulated annealing Layout Missiles Kinetic theory Aerospace simulation Computer simulation Computational modeling Intelligent robots Equations

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detection Algorithm for Color Image by Multiple Surveillance Camera under Low Illumination Based-on Fuzzy Corresponding Map

Detection Algorithm for Color Image by Multiple Surveillance...

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Yutaka Hatakeyama Masatoshi Makino Akimichi Mitsuta Kaoru Hirota Department of Computational Intelligence and Systems Science Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology Japan Customer Solutions Development Company Limited Japan

An objects detection algorithm for color dynamic images from two cameras is proposed for a real surveillance system under low illumination. It provides automatic calculation of a Fuzzy Corresponding Map and color similarity for lower luminance conditions, which detects small chromatic regions in CCD camera images under lower illumination. Experimental detection results for two dynamic images from real surveillance cameras in a downtown area in Japan under low luminance conditions show that the proposed algorithm has 15% improved accuracy compared with the independent detection algorithm in the same false alarm rate, which implementability for severe surveillance situation is discussed. The proposed algorithm is being considered for use in a low cost surveillance system at a relatively poor security downtown (shopping mall) area in Japan.

关键词： detection algorithms Color Surveillance Cameras Lighting Object detection Heuristic algorithms Charge coupled devices Charge-coupled image sensors Costs

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Mean shift technique for image segmentation and Modified Canny Edge detection Algorithm for circle detection

Mean shift technique for image segmentation and Modified Can...

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International Conference on Communications and Signal Processing

作者： Nupur J. Gandhi Vandana J. Shah Ravindra Kshirsagar Department of Electronics & Communications Sarvajanik College of Engineering and Technology Surat Department of Electronics Nagpur University

Image segmentation is an important and challenging problem in an image analysis. Segmentation of objects in an image is even more difficult and computationally expensive. In this paper an unsupervised object based image segmentation that is mean shift clustering approach will be studied. One of the most important step is pre-processed image by a standard mean shift based segmentation, which preserves desirable discontinuities present in the image and guarantees over segmentation in the image in their Output. This type of mean shift segmentation technique which clusters the regions instead of image pixels mostly reduces the sensitivity to noise and hence enhances the overall segmentation performance. detection of circle is very important for initial stage of Mean Shift segmentation. It will first detect a circle with Circular Hough Transform and then with Modified Canny Edge detection Algorithm. The Modified Canny Edge detection Algorithm is very fast algorithm to detect circle from the images as compared to Circular Hough Transform.

关键词： Image segmentation Image edge detection Noise Transforms Merging Estimation detection algorithms

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Real-time pitch detection on the PDA for cochlear implant applications

Real-time pitch detection on the PDA for cochlear implant ap...

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2007 IEEE Dallas Engineering in Medicine and Biology Workshop: Emerging Technologies for Healthcare and Quality of Life

作者： Rohith Ramachandran Philipos C. Loizou Department of Electrical Engineering University of Texas Dallas Richardson TX USA

There is currently a need in cochlear implants to develop speech coding algorithms that provide better access to pitch cues, known to be critical for music perception. Such algorithms require an estimate of the fundamental frequency (F0). This paper presents the implementation of a real-time pitch (F0) detector on a Personal Digital Assistant (PDA). The pitch detection algorithm is based on the autocorrelation function and is implemented real-time on a Dell AXIM Pocket PC. Its performance, in terms of F0 accuracy, is compared against that obtained by the pitch detection algorithm used in STRAIGHT. The implementation details and real-time performance measurements are also provided.

关键词： Cochlear implants Autocorrelation Frequency estimation Electrodes Personal digital assistants detection algorithms Speech coding Detectors Measurement Band pass filters

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An adaptive skin color detection algorithm with confusing backgrounds elimination

An adaptive skin color detection algorithm with confusing ba...

引用

IEEE International Conference on Image Processing

作者： Ming-Ji Zhang Wen Gao Graduate School of Chinese Academy of Sciences China Institute of Computing Technology Chinese Academy and Sciences China

In this paper a new skin detection method based on adaptive thresholds is proposed. Compared with the fixed threshold histogram method used widely, ours can find optimal thresholds to the different complex backgrounds. Four clues are summarized from the skin probability distribution histogram (SPDH) to help search candidates of optimum thresholds, and an ANN classifier is trained to select the final optimum threshold. A color deviation histogram (CDH) is also proposed to eliminate confusing backgrounds and refine optimal thresholds. The selection process of optimal thresholds is fast thus appropriate for real-time applications since no iterative operation is involved. Experimental results show that the proposed method can achieve better performance than the fixed threshold histogram method.

关键词： Skin detection algorithms Histograms Probability distribution Face detection Humans Pixel Adaptive filters Scanning probe microscopy Computers

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A Failure detection Model Based on Message Delay Prediction

A Failure Detection Model Based on Message Delay Prediction

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International Conference on Grid and Cooperative Computing (GCC)

作者： Xiaoguang Ding Zhimin Gu Lei Shi Yaosen Hou School of Computer Science and Technology Beijing Institute of Technology Beijing China School of Information Engineering University of Zhengzhou Zhengzhou China

Failure detection is a key technology to implement a high reliable system. It is usually based on overtime mechanism to determine whether a process is failure or not. With the development of network, old failure detectors without adaptive mechanism can not meet the requirements of QoS of application all the time. Adaptive failure detection requires that the failure detectors can dynamically adjust the detecting quality according to the requirements of applications and the variations of network. A new failure detection model based on the predicted message delay is proposed in this paper. An adaptive failure detection algorithm is discussed and realized, which is based on the prediction from historical messages delay time. Experimental results show that the algorithm can satisfy the userpsilas demand of QoS on the failure detector to some extent.

关键词： Predictive models Detectors detection algorithms Quality of service Heart beat Delay effects Object detection Failure analysis Algorithm design and analysis Grid computing

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Non-background HOG for pedestrian video detection

Non-background HOG for pedestrian video detection

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International Conference on Natural Computation (ICNC)

作者： Jianming Qu Zhijing Liu School of Computer Science and Technology Xidian University Xi'an China

Histogram of Oriented Gradient (HOG) features are proved to be very effective for pedestrian detection in static image. However, most of the background information is wasted when the features are used to detect human in video. Especially in complex environment, the non-eliminated background gradient will affect the detection results. To improve the overall detection performance, a new feature named Non-background HOG is proposed which created a cell map using GMM for the procedure of image gradient calculation in HOG algorithm. This new algorithm not only is capable of reducing the influence of background gradient, but also speeds up the extraction running time. Evaluation experiment demonstrated that the non-background HOG algorithm gives a better performance than classic HOG in pedestrian video detection.

关键词： Feature extraction Humans Computer vision detection algorithms Histograms Support vector machines Training

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Fuzzy systems based automatic freeway incident detection

Fuzzy systems based automatic freeway incident detection

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IEEE International Conference on Systems, Man and Cybernetics

作者： E.C.-P. Chang Texas Transportation Institute Texas A and M University College Station TX USA

This paper examines the feasibility of developing the fuzzy systems based automatic incident detection algorithms to improve the implementation of the real-time computerized freeway traffic management systems.

关键词： Fuzzy systems Traffic control detection algorithms Real time systems

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