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检索条件"主题词=detection Algorithms"

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detection Algorithm for Hybrid Space-Time and Spatial Multiplexing Wireless Communications Systems

Detection Algorithm for Hybrid Space-Time and Spatial Multip...

引用

International Conference on Electronics, Communications and Computers (CONIELECOMP)

作者： Joaquín Cortez Miguel Bazdresch Deni Torres Ramón Parra ITSON University Cd. Obregón México ITESO University Guadalajara México CINVESTAV Zapopan Mexico CINVESTAV-GDL Zapopan México

In this paper we propose a new architecture for detection of hybrid layered space-time block codes (LSTBC). The proposed receiver is based on a successive interference cancellation (SIC) scheme and the QR decomposition, which leads to a suitable hardware implementation. It was designed for zero-forcing (ZF) criterion; reduced complexity is achieved by means of an adequate rearrangement of the channel matrix elements. Simulation results show that this new architecture outperforms similar, recently reported detectors in terms of bit error rate under spatially correlated channels.

关键词： detection algorithms Wireless communication Transmitters MIMO Receiving antennas Transmitting antennas Block codes Matrix decomposition Space time codes Computer architecture

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Research on detection Algorithm of Multi-Class Telephone Signal Tones

Research on Detection Algorithm of Multi-Class Telephone Sig...

引用

2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)

作者： Shan Zhong Weiqiang Zhang Jia Liu Department of Electronic Engineering Tsinghua University Beijing 100084 China

This paper not only proposes the detection algorithm of traditional ring signal tones, but also researches the Color Ring Back Tone which is well popular recent years. Different testing methods are given according to the difference of music color ring tone and voice prompt color ring tone. Tested on RMTS (Real-world Multi-channel Telephone Speech) database, experiments show that the detection rates of ring tone, music color ring tone, voice prompt color ring tone and virtual speech reach 100%, 98.5%, 98% and 97.5% respectively, 98.5% totally.

关键词： Music Speech Training detection algorithms Color Testing Speech recognition

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BDD based detection algorithm for XOR-type logic

BDD based detection algorithm for XOR-type logic

引用

International Conference on Communication Technology (ICCT)

作者： Fei Sun Yinshui Xia Institute of Circuits and Systems Ningbo University Zhejiang China

Based on the characteristics study of binary decision diagrams (BDDs) of logic functions, a method using the characteristic triangle (CT) to detect logic functions suitable for XOR logic implementation is presented and a corresponding algorithm is developed. The proposed algorithm is implemented in C and tested on MCNC benchmarks. The experimental results show that the proposed algorithm is efficient compared with published results.

关键词： Binary decision diagrams detection algorithms Boolean functions Logic functions Data structures Logic circuits Reactive power Logic design Sun Circuits and systems

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Memory-constrained ML-optimal tree search detection

Memory-constrained ML-optimal tree search detection

引用

Annual Conference on Information Sciences and Systems (CISS)

作者： Yongmei Dai Zhiyuan Yan Department of Electrical and Computer Engineering Lehigh University PA USA

In this paper, we propose a memory-constrained tree search (MCTS) algorithm for the detection in multiple-input multiple-output (MIMO) systems. The MCTS algorithm offers a wide range of trade-offs between computational complexity and memory requirement, and is guaranteed to achieve the exact maximum-likelihood performance. By tuning the memory size, the MCTS algorithm ranges from being memory-efficient to being computation-efficient with abundant choices in *** show that the MCTS algorithm visits slightly fewer nodes and requires slightly less memory than the sphere decoding (SD) algorithm in the memory-efficient case, and visits similar number of nodes and requires significantly less memory than the stack algorithm in the computation-efficient case.

关键词： Computational complexity MIMO Maximum likelihood detection Maximum likelihood decoding Receiving antennas Hardware Electronic mail Wireless communication Diversity methods detection algorithms

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Alert detection in System Logs

Alert Detection in System Logs

引用

IEEE International Conference on Data Mining (ICDM)

作者： Adam J. Oliner Alex Aiken Jon Stearley University of Stanford Stanford CA USA Sandia National Laboratories Albuquerque NM USA

We present Nodeinfo, an unsupervised algorithm for anomaly detection in system logs. We demonstrate Nodeinfo's effectiveness on data from four of the world's most powerful supercomputers: using logs representing over 746 million processor-hours, in which anomalous events called alerts were manually tagged for scoring, we aim to automatically identify the regions of the log containing those alerts. We formalize the alert detection task in these terms, describe how Nodeinfo uses the information entropy of message terms to identify alerts, and present an online version of this algorithm, which is now in production use. This is the first work to investigate alert detection on (several) publicly-available supercomputer system logs, thereby providing a reproducible performance baseline.

关键词： Supercomputers Data mining USA Councils Information entropy Laboratories Production systems Costs detection algorithms Personnel Fault detection

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Hardware Efficient Skip Mode detection for H.264/AVC

Hardware Efficient Skip Mode Detection for H.264/AVC

引用

IEEE International Conference on Consumer Electronics (ICCE)

作者： Chia-Chun Lin Yu-Kun Lin Tian-Sheuan Chang Institute of Electronics National Chiao Tung University Taiwan

The paper presents a low cost skip detection algorithm and its architecture by detecting 4x4-zero block numbers in a macroblock (MB). With this simple detection mechanism and an adaptive threshold; the proposed algorithm can correctly pre-skip 82.62% of total MB encoding, and save up to 82.8% encoding time and corresponding computing power whereas maintains similar video quality because of the high accuracy prediction. Moreover, the design only occupies 0.63K gate counts so that it can be easily combined with the H.264 encoder implementation without overhead for low power and low complexity.

关键词： Hardware Automatic voltage control Encoding Entropy coding Costs Video coding Motion estimation detection algorithms Computer architecture Accuracy

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Anomaly detection by combining decision trees and parametric densities

Anomaly detection by combining decision trees and parametric...

引用

International Conference on Pattern Recognition

作者： Matthias Reif Markus Goldstein Armin Stahl Thomas M. Breuel German Research Center for Artificial Intelligence Department of Computer Science Technical University of Kaiserslautern

ISBN: (纸本)9781424421749

In this paper a modified decision tree algorithm for anomaly detection is presented. During the tree building process, densities for the outlier class are used directly in the split point determination algorithm. No artificial counter-examples have to be sampled from the unknown class, which yields to more precise decision boundaries and a deterministic classification result. Furthermore, the prior of the outlier class can be used to adjust the sensitivity of the anomaly detector. The proposed method combines the advantages of classification trees with the benefit of a more accurate representation of the outliers. For evaluation, we compare our approach with other state-of-the-art anomaly detection algorithms on four standard data sets including the KDD-Cup 99. The results show that the proposed method performs as well as more complex approaches and is even superior on three out of four data sets.

关键词： Decision trees Impurities Classification tree analysis Intrusion detection Training data Sampling methods Artificial intelligence Computer science Detectors detection algorithms

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Randomized Trees for Human Pose detection

Randomized Trees for Human Pose Detection

引用

26th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008), vol.7

作者： Gregory Rogez Jonathan Rihan Srikumar Ramalingam Carlos Orrite Philip H. S. Torr Computer Vision Lab-I3A University of Zaragoza Spain Department of Computing Oxford Brookes University UK

This paper addresses human pose recognition from video sequences by formulating it as a classification problem. Unlike much previous work we do not make any assumptions on the availability of clean segmentation. The first step of this work consists in a novel method of aligning the training images using 3D Mocap data. Next we define classes by discretizing a 2D manifold whose two dimensions are camera viewpoint and actions. Our main contribution is a pose detection algorithm based on random forests. A bottom-up approach is followed to build a decision tree by recursively clustering and merging the classes at each level. For each node of the decision tree we build a list of potentially discriminative features using the alignment of training images;in this paper we consider Histograms of Orientated Gradient (HOG). We finally grow an ensemble of trees by randomly sampling one of the selected HOG blocks at each node. Our proposed approach gives promising results with both fixed and moving cameras.

关键词： Humans Computer vision Cameras detection algorithms Decision trees Histograms Detectors Shape Motion detection Video sequences

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A Vision Based Lane detection and Tracking Algorithm in Automatic Drive

A Vision Based Lane Detection and Tracking Algorithm in Auto...

引用

Pacific-Asia Workshop on Computational Intelligence and Industrial Application, PACIIA

作者： Wenhong Zhu Fuqiang Liu Zhipeng Li Xinhong Wang Shanshan Zhang Electronic and Information Engineering Department University of Tongji Shanghai China

This paper presents a novel lane detection algorithm for automatic drive system. The algorithm chooses a common curved lane parameter model which can describe both straight and curved lanes. The most prominent contribution of this paper is: instead of using one single method to calculate all the parameters in the lane model, both the adaptive random Hough transformation (ARHT) and the Tabu Search algorithm are used to calculate the different parameters in the lane model, according to the different demands of accuracy for different parameters. Furthermore, in order to reduce the time-consume of the whole system, the strategy of multi-resolution is proposed. At last, this paper also presents a tracking algorithm based on particle filter, which can make the system more stable. The algorithm presented in this paper is proved to be both robust and fast by a large amount of experiments in variable occasions, besides, the algorithm can extract the lanes accurately even in some bad illumination occasions.

关键词： detection algorithms Particle tracking Particle filters Frequency estimation Feature extraction Roads Intelligent transportation systems Conferences Computational intelligence Computer industry

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A model-based voice Activity detection algorithm using probabilistic neural networks

A model-based voice Activity Detection algorithm using proba...

引用

Asia-Pacific Conference on Communications

作者： M. Farsinejad M. Mohammadi B. Nasersharif A. Akbari Department of Computer Engineering Iran University of Science and Technology Tehran Iran

In this paper we introduce an efficient probabilistic neural networks (PNN) model-based voice activity detection (VAD) algorithm. The inputs for PNN are code excited linear prediction coder parameters, which are stable under background noise. The PNN network output is 1 or 0 to determine the nature of the period (speech or NonSpeech). Experimental results show that the proposed VAD algorithm achieves better performance than G.729 Annex B at any noise level. The performance compares very favorably with Adaptive MultiRate VAD, phase 2 (AMR2).

关键词： detection algorithms Neural networks Neurons Background noise Transfer functions Speech coding Mathematical model Computer networks Noise level MATLAB

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