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检索条件"主题词=Detection algorithms"

共 7359 条记录，以下是251-260 订阅

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A comparative study of MIMO detection algorithms for wideband spatial multiplexing systems

A comparative study of MIMO detection algorithms for wideban...

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IEEE Conference on Wireless Communications and Networking

作者： Jingming-Wang B. Daneshrad Electrical Engineering Department University of California Los Angeles CA USA

The implementation of wideband MIMO systems poses a major challenge to hardware designers due to the huge processing power required for MIMO detection. To achieve this goal with a complete VLSI solution, channel coding and MIMO detection are preferably separated so that each of them can be fitted into a single chip. In this paper, a comparative study is presented regarding various uncoded adaptive and non-adaptive MIMO detection algorithms. Intended to serve as a reference for system designers, this comparison is performed from several different perspectives including theoretical formulation, simulated BER/PER performance, and hardware complexity. All the simulations are conducted within MIMO-OFDM framework and with a packet structure similar to that of the IEEE 802.11a/g standard. As the comparison results show, the RLS algorithm appears to be an affordable solution for a wideband MIMO system targeted at gigabit wireless transmission. As a direct result of this work, an ASIC for a 25 MHz wideband 8 /spl times/ 8 MIMO-OFDM system using RLS has been designed and fabricated.

关键词： MIMO detection algorithms Wideband Hardware Channel coding Very large scale integration Resonance light scattering Receiving antennas Signal detection Wireless communication

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A decision-theoretic approach to evaluate radiation detection algorithms

A decision-theoretic approach to evaluate radiation detectio...

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IEEE Conference on Technologies for Homeland Security

作者： Mallory A. Nobles Landon H. Sego Scott K. Cooley Luke J. Gosink Richard M. Anderson Spencer E. Hays Mark F. Tardiff Applied Statistics and Computational Modeling Group Pacific Northwest National Laboratory Richland WA Puget Sound Institute University of Washington Tacoma Tacoma WA Department of Statistical Sciences and Operations Research Virginia Commonwealth University Richmond VA

There are a variety of sensor systems deployed at border crossings and ports of entry throughout the world that scan for illicit nuclear material. These systems employ detection algorithms that interpret the output of the scans and determine whether additional investigation is warranted. In this work, we demonstrate an approach for comparing the performance of such detection algorithms. We optimize each algorithm by minimizing risk, which considers the probability distribution of threat sources and the consequence of detection errors. Our method is flexible and is easily adapted to many different assumptions regarding the probability of a conveyance containing illicit material and the relative consequences of false positive and false negative errors. This approach can help developers and decision makers identify optimal settings for these algorithms. We illustrate the method by comparing the risk from two families of detection algorithms and discuss the generalizability of the method.

关键词： Algorithm design and analysis Prediction algorithms Materials Radiation detectors detection algorithms Sensitivity Educational institutions

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Incident detection algorithms for COMPASS - An advanced traffic management system

Incident detection algorithms for COMPASS - An advanced traf...

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Vehicle Navigation and Information Systems Conference

作者： P.H. Masters J.K. Lam Kam Wong Ministry of Transportation of Ontario Canada National Engineering Technology Corporation

Advanced Traffic Management Systems (ATMS) provide the means for local transportation officials to monitor traffic conditions, adjust traffic operations, and respond to accidents. By providing early traffic incident detection and management, and by redistributing traffic to less congested portions of the highway network, ATMS can influence vehicle operators' route choices. COMPASS, a state-of-the-art advanced traffic management system implemented in the Metropolitan Toronto area, has adopted most of the Intelligent Vehicle-Highway Systems (IVHS) technologies. This paper describes the logic and implementation of the automatic incident detection for COMPASS. The purpose of incident detection is to identify the potential occurrence of incidents in a traffic stream by analyzing the flow characteristics of the traffic stream. The output of the incident detection function will form the basis for incident verification by the operator and implementation of traffic response plans. Two incident detection algorithms have been developed for the system, namely the All Purpose Incident detection (APID) algorithm and the Double Exponential Smoothing (DES) algorithm. The APID algorithm is based on the California incident detection algorithms which have the general structure of a binary decision tree. The algorithm has been designed to handle different traffic patterns. For example, the light/medium traffic incident detection routines are more suitable for detecting incidents at light/medium traffic conditions than the general incident detection routine. Furthermore, the false alarm rate may be reduced by introducing the compression wave test and persistence test. The DES algorithm makes use of a short-term forecasting technique for detecting irregularities of a traffic variable (e.g. volume) in a time series. A tracking signal is obtained by dividing the cumulative error of a traffic variable (e.g. volume) by the current standard deviation of the same variable. An incident will be

关键词： detection algorithms Telecommunication traffic Logic Testing Transportation Condition monitoring Road accidents Vehicle detection Automated highways Road vehicles

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Research of spectrum holes detection algorithms for cognitive radio

Research of spectrum holes detection algorithms for cognitiv...

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International Conference on Communication Technology (ICCT)

作者： Dong Chunli Yang Zhen Zhang Hui Tian Feng Wang Li College of Communication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China National Mobile Communications Research Laboratory Southeast University Nanjing Nanjing China Nanjing College of Traffic Vocational Technology Nanjing China

The experience of ubiquitous and seamless access to heterogeneous mobile communication networks is one of the core issues of today's research. One important issue is the reliable detection of spectrum holes. in this paper, we address three important spectrum holes detection algorithms in cognitive wireless networks: MTM-SVD based spectrum holes detection algorithm, Kalman filtering Predictor and Particle filtering predictor. A detailed analysis and the specific steps are given.

关键词： Adaptation model Filtering Prediction algorithms Filtering algorithms Computational modeling Wireless networks detection algorithms

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Overview of Image detection algorithms: Performance Analysis and Technology Trends

Overview of Image Detection Algorithms: Performance Analysis...

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International Conference on Informatics and Computing (ICIC)

作者： Nurul Hidayat R. Rizal Isnanto Department of Informatics Jenderal Soedirman University Purwokerto Indonesia Department of Computer Engineering Diponegoro University Semarang Indonesia

ISBN: (数字)9798331517601

ISBN: (纸本)9798331517618

Image detection plays a vital role in digital image processing and artificial intelligence, with applications ranging from security surveillance to autonomous vehicles and medical image analysis. This study employs a qualitative approach to review the performance of image detection algorithms, focusing on deep learning methods such as YOLO, SSD, and CNN. Through computational experiments using quantitative data, this research provides performance comparisons based on accuracy, precision, recall, and computational efficiency. The results highlight YOLO’s superior performance in terms of both accuracy ($\mathbf{9 2} .5 \%$) and inference speed (75.2 fps), making it suitable for real-time applications. This study contributes by addressing the gap in balancing computational efficiency and adaptability for real-world applications.

关键词： YOLO Deep learning Machine learning algorithms Accuracy Computational modeling Real-time systems Inference algorithms Computational efficiency detection algorithms Edge computing

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Single-user detection algorithms for space-time block coded DS/CDMA transmissions over multipath fading channels

Single-user detection algorithms for space-time block coded ...

引用

IEEE Conference on Vehicular Technology (VTC)

作者： S.N. Nazar I.N. Psaromiligkos Department of Electrical & Computer Engineering McGill University Montreal QUE Canada

We consider a combined space-time (ST) block coding and direct-sequence code division multiple access (DS/CDMA) scheme for downlink transmissions over multipath fading channels, in which ST block coding is performed at the chip level, i.e. after code spreading. For this scheme, we develop low complexity and low decoding delay linear ST single-user detection algorithms. In addition, we demonstrate that by exploiting the signal structure imposed by the chip-level ST block coding, blind channel multipath estimation (with only a scalar ambiguity) is feasible, even with the assignment of a single code vector to each user.

关键词： detection algorithms Multiaccess communication Fading Block codes Decoding Downlink Multiuser detection Blind equalizers Nonlinear filters Delay estimation

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Robustness of polarimetric detection algorithms against steering mismatches

Robustness of polarimetric detection algorithms against stee...

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European Radar Conference (EURAD)

作者： Vsevolod Kovalenko Piet van Genderen TU Delft-EWI Netherlands

We analyze robustness of several multichannel radar detection algorithms to mismatches in the steering vector. In particular, we address the scenario of a staged detection, where a history of measurements provides the region of interest and a-priori polarimetric target signatures for a target. The four second stage detection approaches - optimally weighed span, Kellypsilas and Robeypsilas detectors, and Gerlachpsilas secondary data free detector - are considered using these polarimetric features. The evaluation based on recordings of real natural scenes and both real and artificially inserted extended objects concerns robustness of these algorithms to mismatches in the steering vector. It has been observed - for different ground clutter environments into which extended target is placed - that Kellypsilas detector provides the best detection but may suffer severely from the mismatch, Gerlachpsilas detector while allowing higher probability of false alarms, produces the most stable performance and Robeypsilas matched filter gives a suitable trade-off.

关键词： Robustness detection algorithms Radar detection Detectors Algorithm design and analysis History Particle measurements Layout Clutter Matched filters

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Implementation of control and detection algorithms for utility interfaced power conversion systems

Implementation of control and detection algorithms for utili...

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Annual IEEE Conference on Applied Power Electronics Conference and Exposition (APEC)

作者： T. Thacker F. Wang R. Burgos D. Boroyevich Center for Power Electronics Systems The Bradley Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University Blacksburg VA USA

This paper presents experimental results from the hardware implementation of a power conversion system (PCS), and its islanding control and detection algorithms, for a distributed generation (DG) unit's interface to the utility grid. The control and detection schemes implemented are shown in simulations to be stable and effective. The algorithms allow for not only transient control between modes of operation (grid-connected to stand-alone, islanding, modes) but for the elimination of nondetection zones (NDZ) and the autonomous operation of the PCS from the grid. The simulations show that the concepts of the algorithms are feasible, while the hardware implementation, via power electronics building blocks (PEBBs), shows the results that validate them.

关键词： Control systems detection algorithms Power conversion Personal communication networks Power system reliability Distributed control Power system transients Power systems Density estimation robust algorithm Power electronics

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Research on Liveness detection algorithms Based on Deep Learning

Research on Liveness Detection Algorithms Based on Deep Lear...

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IEEE International Conference on Software Engineering and Service Sciences (ICSESS)

作者： Ying Fan Yilin Shi Xianliang Wang Haiyang Yi Administration Residency Research Center of the Ministry of public security PRC Beijing China Beijing Hisign. Crop. Ltd. Beijing China

ISBN: (数字)9781728109459

ISBN: (纸本)9781728109466

Face liveness detection is designed to prevent the face recognition system from using the attacking image as the user's real image. At present, although there are many liveness detection methods, most of the methods have poor generalization ability in practical application. Because these methods are based on datasets, and these data cannot well simulate the data distribution in the real environment. In order to improve the generalization ability of the model, in this paper, we build model using the deep neural network and the dataset collected by ourselves. The experimental results show that our model has achieved significant improvement in the realistic scenario.

关键词： Face Face recognition Feature extraction Data models Convolution detection algorithms Deep learning

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Simulating 2D Images of Smoke Clouds for the Purpose of Fire detection algorithms Adjustment

Simulating 2D Images of Smoke Clouds for the Purpose of Fire...

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3rd International Forum on Strategic Technology (IFOST 2008), vol.2

作者： Vasiliy N. Vasyukov Andrey N. Podovinnikov Novosibirsk State Technical University Novosibirsk Russia

A cellular model for simulating 2D grayscale images of smoke clouds is offered. The model is intended for adjustment of forest fire detection algorithms based on image analysis. Simulation of realistic smoke cloud ima... 详细信息

关键词： Meteorology Computational modeling Mathematical model Automata Fires detection algorithms Computers

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