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检索条件"主题词=detection algorithms"

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Signal detection technology research of MIMO-OFDM system

Signal detection technology research of MIMO-OFDM system

引用

Congress on Image and Signal Processing, CISP

作者： Xiuyan Zhang Yajie Su Guobin Tao Northeast Petroleum University Daqing China

MIMO-OFDM system has been currently recognized as one of the most competitive programs for 4G mobile wireless systems. MIMO-OFDM system can compensate for the lacks of MIMO systems and give play to the advantages of OFDM system. The signal detection technology of MIMO-OFDM system is mainly studied in the paper, including linear detection method of zero forcing (ZF) detection and the minimum mean square error (MMSE) detection, as well as the non-linear detection method of V-BLAST detection, those detection algorithms are simulated based on matlab in different modulation for searching which is the optimal detection algorithm of the channel.

关键词： detection algorithms Signal detection Modulation OFDM Bit error rate MIMO Signal to noise ratio

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Speech pitch detection using short-time energy

Speech pitch detection using short-time energy

引用

International Conference on Computer and Communication Engineering, ICCCE

作者： Tan Tian Swee Sheikh Hussain Shaikh Salleh Mohd Redzuan Jamaludin Faculty of Biomedical and Health Science Engineering Universiti Teknologi Malaysia Johor Malaysia

Research on pitch detection for speech has been done and still ongoing since there is not one algorithm found that perfectly detects the pitch. This paper will show the sum of square energy method in detecting the voiced/unvoiced speech since they have different level of energy. The threshold was found through experiments to find the unvoiced energy level from candidates with various words consist of unvoiced phonemes. Pitch detection algorithm was then implemented and the percentage of pitch detected in words was evaluated to test the accuracy of the algorithm proposed in this paper.

关键词： Speech Classification algorithms detection algorithms Vibrations Speech recognition Wavelet transforms Noise measurement

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An Effective Decentralized Nonparametric Quickest detection Approach

An Effective Decentralized Nonparametric Quickest Detection ...

引用

International Conference on Pattern Recognition

作者： Dayu Yang Hairong Qi Department of Electrical Engineering and Computer Science University of Tennessee Knoxville TN USA

ISBN: (纸本)9781424475421

This paper studies decentralized quickest detection schemes that can be deployed in a sensing environment where data streams are simultaneously collected from multiple channels located distributively to jointly support the detection. Existing decentralized detection approaches are largely parametric that require the knowledge of pre-change and post-change distributions. In this paper, we first present an effective nonparametric detection procedure based on Q-Q distance measure. We then describe two implementations schemes, binary quickest detection and local decision fusion by majority voting, that realize decentralized nonparametric detection. Experimental results show that the proposed method has a comparable performance to the parametric CUSUM test in binary detection. Its decision fusion-based implementation also outperforms the other three popular fusion rules under the parametric framework.

关键词： Delay Sensor fusion Bandwidth Image edge detection Real time systems detection algorithms

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Hypothesis testing for target detection model in sensor networks

Hypothesis testing for target detection model in sensor netw...

引用

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Xun-Xue Cui Ji-chun Zhang Pu-Cheng Zhou New Star Research Institute of Applied Technology Hefei China

Recently target detection is widely regarded as a typical hot spot in research of sensor networks. A fast target detection algorithm is proposed by using the hypothesis testing (HT) method in the paper. The objective is to determine whether a target is present in a sensor network for decision-makers. Due to the nature of sensor networks, it is desirable to have a fast algorithm to accomplish the detection and judgment process with low computation cost on a distributed network end node. In the paper mobile target detection is formulated as a statistical inference problem according to the mathematical statistics theory. Moreover, a data fusion process with several sensors is also designed to optimize the final decision result for detection synthesis. It has the advantage of low computational complexity, good performance of real time, and yields high target detection correctness. Numerical experiments are used to demonstrate the efficiency of the HT detection algorithm, where magnetic sensors are applied to collect the output signal from an undetermined target.

关键词： Object detection Testing Algorithm design and analysis detection algorithms Sensors Probability Wireless sensor networks

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Research on Early detection of Internet Worm Burst

Research on Early Detection of Internet Worm Burst

引用

International Conference on Internet Technology and Applications (iTAP)

作者： Wenguo Wang Yuyou He Dept. of Comput. Sci. Qufu Normal Univ. Rizhao China

A new model is proposed for early detection of Internet worm burst. This model consists mainly of two algorithms: A detection algorithm based on relationship of port number and destination addresses, and an invalidating algorithm derived from page switching method in OS. Simulation model has been designed and tested on an improved NS2 platform, and the results show our model is very efficient and practical to use.

关键词： Grippers Internet Algorithm design and analysis Computational modeling Data structures Silicon detection algorithms

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Tolerance-Based Adaptive Online Outlier detection for Internet of Things

Tolerance-Based Adaptive Online Outlier Detection for Intern...

引用

IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom) Green Computing and Communications (GreenCom)

作者： Qiang Shen Zhijun Zhao Wenjia Niu Yu Liu Hui Tang High Performance Networks Laboratory Institute of Acoustics Chinese Academy and Sciences Beijing China

ISBN: (纸本)9781424497799

The cheap and low-quality sensor devices are usually used for event detection in Internet of Things (IoT), and they put limitations on power, memories and computing capabilities. Those limitations need to be considered while designing our outlier detection algorithm. In this paper, we try to present an adaptive online outlier detection algorithm to handle data measurements for event detection. Namely, the proposed algorithm needs to provide the capability to tolerant those data which would be classified as outliers by traditional algorithms. With an accurate ratio of outliers and a tolerance parameter, a tolerance-based adaptive online outlier detection (TAOOD) algorithm is proposed. The contributions of TAOOD are two folds: (i) TAOOD decreases the amount of transmitted data by discarding duplicate data and outliers, (ii) TAOOD eliminates the limitation of original window-based outlier detection algorithm by adapting an accurate ratio of outliers and a tolerance parameter. Extensive simulations demonstrate effectiveness of the proposed algorithm.

关键词： Training detection algorithms Support vector machines Temperature sensors Temperature measurement Internet Adaptation model

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A multi-objective approach for community detection in complex network

A multi-objective approach for community detection in comple...

引用

Congress on Evolutionary Computation

作者： Chuan Shi Cha Zhong Zhenyu Yan Yanan Cai Bin Wu Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications Beijing China

Detecting community structure is crucial for uncovering the links between structures and functions in complex networks. Most contemporary community detection algorithms employ single optimization criteria (e.g., modularity), which may have fundamental disadvantages. This paper considers the community detection process as a Multi-Objective optimization Problem (MOP). Correspondingly, a special Multi-Objective Evolutionary Algorithm (MOEA) is designed to solve the MOP and two model selection methods are proposed. The experiments in artificial and real networks show that the multi-objective community detection algorithm is able to discover more accurate community structures.

关键词： Communities Optimization Complex networks Evolutionary computation Partitioning algorithms Clustering algorithms detection algorithms

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A robust license plate detection algorithm based on multi-features

A robust license plate detection algorithm based on multi-fe...

引用

International Conference on Computer and Automation Engineering, ICCAE

作者： Xiehua Zhang Shen Zhang Information Electronic & Engineering Institute Modern Education Technology Center Xuzhou Normal University China University of Mining Technology Xuzhou China Information Electronic & Engineering Institute China University of Mining and Technology Xuzhou China

ISBN: (纸本)9781424455690

This paper presents a robust vehicle license plate detection algorithm based on multi-features, including mathematical morphology, rectangle features, edge statistics and characters features. Here we utilize the word ¿robust¿ to describe the proposed algorithm because it is not only adaptive to variance occasions, such as variance of the illumination, vehicle position, the color, both background and foreground, the acclivitous angle and the size while working in different complex environment, but also can be used in several regional license plates while some other algorithms just work well for one region and badly for another. We have used the algorithm for detecting both American and Chinese plates and gotten a good performance in both regions. Those are the two primary contributions of the algorithm. Another contribution is that we use a character feature verification algorithm to determine the final detection result in the candidate rectangles. This is proved to be more effective than other features.

关键词： Robustness Licenses detection algorithms Morphology Image edge detection Statistics Educational technology Paper technology Vehicle detection Vehicles

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A Noise Robust Endpoint detection Algorithm for Whispered Speech Based on Empirical Mode Decomposition and Entropy

A Noise Robust Endpoint Detection Algorithm for Whispered Sp...

引用

International Symposium on Intelligent Information Technology and Security Informatics, IITSI

作者： Xue-Dan Tan He-Ming Zhao Ji-Hua Gu Zhi Tao Department of Physics Science and Tech Soochow University Suzhou China Department of Electron Soochow University Suzhou China

ISBN: (纸本)9781424467303

This paper proposes a novel endpoint detection algorithm to improve the speech detection performance in noisy environments. In the proposed algorithm, Empirical Mode Decomposition is introduced to improve the performance of voice activity detector based on spectral entropy. We have evaluated system performance under noisy environments using a whispered database and NOISEX-92 Database. Experimental results indicate that our approach performs well in the degraded environment.

关键词： Noise robustness detection algorithms Speech enhancement Entropy Working environment noise Acoustic noise Detectors Databases Background noise Speech coding

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Correction of ECG baseline wander application to the Pan & Tompkins QRS detection algorithm

Correction of ECG baseline wander application to the Pan & T...

引用

International Symposium on I/V Communications and Mobile Network (ISVC)

作者： Nehla Debbabi Sadok El Asmi Hichem Arfa SUP'COM City of Communications Technologies France Research Unit Techtra SUPCOM Tunisia Research Unit TECHTRA SUP'COM SUP'COM Research Unit 6'tel France

The ECG signal is pseudo-periodic, since the amplitude of every wave varies from a cycle to the other one during the same recording. The variation of the amplitude is related to physiological and pathological conditions of the patient. But when recording, the ECG signal is contaminated by various kinds of noise such as the patient's contraction muscles, respiration, 60 Hz interference, place of recording (ambulatory recording), which can change the positions of electrodes which record the signal. All these factors affect the signal and disrupt it, this gives a signal whose baseline is wandering. In order to obtain the best extraction of the QRS complex of an ECG signal, we will need to correct this baseline and to make it horizontal. In this paper, we will use this correction in order to use a fixed thresholding in the application of the Pan & Tompkins algorithm instead of using an adaptatif thresholding, this method reduces the processing time and complexity for the concerned algorithm.

关键词： Electrocardiography detection algorithms Complexity theory Databases Noise Electronic mail Muscles

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