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IEEE Conference on Wireless Communications and Networking

作者： S. Ahmed Li Zhang School of Electronics and Electrical Engineering University of Leeds UK

In this work, we propose an iterative algorithm for the detection of transmitted symbols at the uplink of an orthogonal frequency-division multiple access (OFDMA) system. The algorithm allows distinct frequency-offsets (FO)s from each user that cause self- and multiple-access-interference. The proposed algorithm squeezes the interference of subcarrier k into 2D + 1 nearby subcarriers by preprocessing the received signal, which yields a banded structure interference matrix. This banded structure is exploited to realize a low complexity iterative soft-interference-cancellation minimum mean-squared error (SIC-MMSE) equalizer that can be used in Turbo equalization. Simulation results show that the bit-error-rate (BER) performance of the proposed algorithm outperforms existing detection algorithms and is very much close to the zero-FO frequency- domain-equalization (zero-FO-FDE) at low computational cost.

关键词： Interference Iterative algorithms Equalizers Computational complexity Matrix decomposition Bit error rate detection algorithms OFDM Sparse matrices Filters

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C2A: Controlled conservative advancement for continuous collision detection of polygonal models

C2A: Controlled conservative advancement for continuous coll...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Min Tang Young J. Kim Dinesh Manocha Department of Computer Science and Engineering Ewha Womans University Seoul South Korea Department of Computer Science North Carolina State University Chapel Hill USA

We present a simple and fast algorithm to perform continuous collision detection between polygonal models undergoing rigid motion for interactive applications. Our approach can handle all triangulated models and makes no assumption about the underlying geometry and topology. The algorithm uses the notion of conservative advancement (CA), originally developed for convex polytopes. We extend this formulation to general models using swept sphere volume hierarchy and present a compact formulation to compute the motion bounds along with a novel controlling scheme. We have implemented the algorithm and highlight its performance on various benchmarks. In practice, our algorithm can perform continuous collision queries in few milli-seconds on models composed of tens of thousands of triangles.

关键词： Charge coupled devices Motion planning Motion detection Solid modeling detection algorithms Motion control Geometry Topology Robot motion Layout

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A New Reduced Complexity ML detection Scheme for MIMO Systems

A New Reduced Complexity ML Detection Scheme for MIMO System...

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IEEE International Conference on Communications (ICC)

作者： J.-S. Kim S.-H. Moon I. Lee School of Electrical Engineering Korea University Seoul South Korea

For multiple-input multiple-output (MIMO) systems, the optimum maximum likelihood (ML) detection requires tremendous complexity as the number of antennas or modulation level increases. This paper proposes a new algorithm which attains the ML performance with significantly reduced complexity. Based on the minimum mean square error (MMSE) criterion, the proposed scheme reduces the search space by excluding unreliable candidate symbols in data streams. Utilizing the probability metric which evaluates the reliability with the normalized likelihood functions of each symbol candidate, near optimal ML detection is made possible. A threshold parameter is introduced to balance a tradeoff between complexity and performance. Besides, we propose an efficient way of generating the log likelihood ratio (LLR) values which can be used for coded systems.

关键词： MIMO Maximum likelihood detection Transmitters detection algorithms Mean square error methods Maximum likelihood decoding Vectors Detectors Information technology Receiving antennas

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Weak GPS Signal Acquisition Algorithm Based on Chaotic Oscillator

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EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING 2009年第1期2009卷 862618-862618页

作者： Huang, Pengda Pi, Yiming Zhao, Zhiqin Univ Elect Sci & Technol China Sch Elect Engn Lab 701 4 Chengdu 611731 Peoples R China

To detect weak Global Position System (GPS) signal indoors, various high-sensitivity detection algorithms have been proposed. However, a common tradeoff between high-sensitivity and computation burden impedes development of high sensitivity GPS receiver. As another strategy, chaotic oscillator, sensitive to periodic signal and inert to noise, possesses huge advantage in weak signal acquisition. In this paper chaotic oscillator is employed in weak GPS signal acquisition. With numerical indication of Lyapunov exponents (LEs), chaotic oscillator can achieve acquisition in extremely weak GPS signal. Compared with conventional algorithm, chaotic oscillator consumes less acquisition time and is capable of detecting weak GPS signal. In the final section of paper, results from computer simulation illustrate that chaotic oscillator algorithm can acquire GPS signal at -48 dB/2MHz SNR. Copyright (C) 2009 Pengda Huang et al.

关键词： GPS LEs SNR signal to noise ratios signal acquisition GPS Receiver HIGH SENSITIVITY Lower Esophageal Sphincter signals Oscillators detection algorithms

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ALANDA for configuration-free analysis of process data

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IFAC Proceedings Volumes 2009年第10期42卷 504-509页

作者： M. Soemers F. Alsmeyer AixCAPE e.V. D-52072 Aachen Germany

For the long-term storage of measured data from production processes, process information management systems (PIMS) have been established in the last years. The use of these measurement data offers optimization potential if the relevant process information can be extracted. This contribution gives an overview of the innovative algorithms the software platform ALANDA provides for online and offline analysis of process data. On the basis of configuration-free algorithms, the effort for data analysis and model building can be reduced significantly. An introduction to the methods for PIMS configuration, basic preprocessing, and trend detection is given. These methods, which are predominantly based on wavelet analysis are used for the identification of a soft sensor in an industrial application. Finally, we present a tutorial demonstration of ALANDA in terms of a trend detection in a separation process.

关键词： Data compression Preprocessing Trends detection algorithms Modelling

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Fast Detecting Outliers over Online Data Streams

Fast Detecting Outliers over Online Data Streams

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International Conference on Information Engineering and Computer Science (ICIECS)

作者： Xianghong Tang Guohui Li Gang Chen School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781424449934

How to mine outliers of online data streams in a short time is an unsolved problem. We propose a new outlier factor metric whose name is the frequent pattern contradiction outlier factor called FPCOF for short. FPCOF can easily measure the degree to which each data instance in data streams is considered as an outlier. In order to compute FPCOF, we construct an outlier detection tree (or OD-tree in short) and design a set of algorithms (ODFP-SW). These algorithms can fast compute FPCOF of new incoming elements by incrementally updating them on the OD-tree, and dynamically maintain the candidate outlier sets and FPCOF of the candidate outliers. The results of experiments show that the proposed method not only can efficiently and accurately mine the outliers in online data streams, but also is more scalable than other existing algorithms.

关键词： Computer science Algorithm design and analysis Data mining detection algorithms

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Reconfigurable real-time MIMO detector on GPU

Reconfigurable real-time MIMO detector on GPU

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Asilomar Conference on Signals, Systems & Computers

作者： Michael Wu Yang Sun Joseph R. Cavallaro Electrical and Computer Engineering Rice University Houston TX USA

ISBN: (纸本)9781424458257

In a high performance multiple-input multiple-output (MIMO) system, a soft output MIMO detector combined with a channel decoder is often used at the receiver to maximize performance gain. Graphic processor unit (GPU) is a low-cost parallel programmable co-processor that can deliver extremely high computation throughput and is well suited for signal processing applications. We propose and implement a novel soft MIMO detection algorithm and show we meet real-time performance while maintaining flexibility using GPU.

关键词： MIMO Detectors Decoding Performance gain Graphics Coprocessors Concurrent computing Throughput Signal processing algorithms detection algorithms

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Unsupervised Class Separation of Multivariate Data through Cumulative Variance-Based Ranking

Unsupervised Class Separation of Multivariate Data through C...

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IEEE International Conference on Data Mining (ICDM)

作者： Andrew Foss Osmar R. Zaïane Sandra Zilles Department of Computing Science University of Alberta Edmonton Canada Department of Computing Science University of Regina Regina Canada

This paper introduces a new extension of outlier detection approaches and a new concept, class separation through variance. We show that accumulating information about the outlierness of points in multiple subspaces leads to a ranking in which classes with differing variance naturally tend to separate. Exploiting this leads to a highly effective and efficient unsupervised class separation approach, especially useful in the difficult case of heavily overlapping distributions. Unlike typical outlier detection algorithms, this method can be applied beyond the `rare classes' case with great success. Two novel algorithms that implement this approach are provided. Additionally, experiments show that the novel methods typically outperform other state-of-the-art outlier detection methods on high dimensional data such as Feature Bagging, SOE1, LOF, ORCA and Robust Mahalanobis Distance and competes even with the leading supervised classification methods.

关键词： detection algorithms Bagging Robustness

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Intelligent Workload Factoring for a Hybrid Cloud Computing Model

Intelligent Workload Factoring for a Hybrid Cloud Computing ...

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IEEE World Congress on Services (SERVICES)

作者： Hui Zhang Guofei Jiang Kenji Yoshihira Haifeng Chen Akhilesh Saxena NEC Laboratories of America Inc. Princeton NJ USA

We present an intelligent workload factoring service for enterprise customers to make the best use of public cloud services along with their privately-owned (legacy) data centers. It enables federation between on- and off-premise infrastructures for hosting Internet-based applications, and the intelligence lies in the explicit segregation of base workload and trespassing workload, the two naturally different components composing the application workload. The core technology of the intelligent workload factoring service is a fast frequent data item detection algorithm, which enables factoring incoming requests not only on volume but also on data content, upon changing application data popularity.

关键词： Cloud computing Internet Load management Computer architecture Streaming media Resource management Technology management National electric code Laboratories detection algorithms

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Cognitive Radio Spectrum Sensing Based on Index Belief Degree Function

Cognitive Radio Spectrum Sensing Based on Index Belief Degre...

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International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Meng-yun Liu Shi-yin Li Qiong Liu School of Information and Electrical Engineering CUMT Xuzhou Jiangsu China

Nowadays, cognitive radio technology is an intelligent spectrum sharing technology. In order to ensure the licensed users will not be interfered, cognitive(unlicensed) users must be able to detect the spectrum vacancy fast and reliably. For several existing multi-node detection schemes didn't take the test results' reliability of the cognitive users in different locations into consideration, this paper Combines the real environment of wireless communication and proposes an optimized spectrum sensing algorithm based on the index belief degree function after improving on the distributed spectrum sensing algorithm. The simulation results show that the novel algorithm has improved a lot in the detection performance than the existing technology. It has a good anti-jamming performance, a low false alarm probability and a high detection probability, which improves the spectrum utilization rate.

关键词： Cognitive radio Resource management Wireless communication Wireless sensor networks FCC detection algorithms Signal detection Fading Logic Testing

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