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检索条件"主题词=change detection algorithms"

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Valid inequalities for binary linear codes

Valid inequalities for binary linear codes

引用

IEEE International Symposium on Information Theory

作者： Akin Tanatmis Stefan Ruzika Horst W. Hamacher Mayur Punekar Frank Kienle Norbert Wehn Department of Mathematics University of Kaiserslautern Kaiserslautern Germany Microelectronic Systems Design Research Group University of Kaiserslautern Kaiserslautern Germany

ISBN: (纸本)9781424443123

We study an integer programming (IP) based separation approach to find the maximum likelihood (ML) codeword for binary linear codes. An algorithm introduced in Tanatmis et al. is extended and improved with respect to decoding performance without increasing the worst case complexity. This is demonstrated on the LDPC and the BCH code classes. Moreover, we propose an integer programming formulation to calculate the minimum distance of a binary linear code. We exemplarily compute the minimum distance of the (204, 102) LDPC code and the (576, 288) WIMAX code. Using the minimum distance of a code, a new class of valid inequalities is introduced.

关键词： Linear code Parity check codes Linear programming Maximum likelihood decoding Linear matrix inequalities change detection algorithms Mathematics Microelectronics WiMAX Polynomials

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detection of Respiratory Rhythm from Photoplethysmography Signal Using Morphological Operators

Detection of Respiratory Rhythm from Photoplethysmography Si...

引用

International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Jin Li Jie Jin Xi'an Jiaotong University

A new approach using morphological operators was proposed to detect the respiratory rhythm from the photoplethysmography (PPG) signal. In the study, photoplethysmograms were obtained from 5 healthy adult volunteers when they respired 6, 10, 15 times per minute. The reference respiratory signal was obtained by transthoracic impedance method simultaneously. Each PPG signal was processed using morphological operators to reduce the low frequency baseline drift and extract the peak envelope of the corrected signal first. Then the algorithm detected trend change of the pre-processed signal and obtained the rhythm of respiration. The result with a false rate of 4.52% showed that our technique had a good performance on detection of respiratory rhythm from PPG signal. The low computational complexity of the algorithm may make it easy to be implemented on MCU for real-time processing. More experimental data is necessary to improve the reliability and robustness of the algorithm.

关键词： Rhythm Signal processing algorithms Signal processing Biomedical signal processing Medical signal detection Biomedical engineering Frequency change detection algorithms Computational complexity Monitoring

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Adaptive cancellation of acoustic echoes during double-talk based on an information theoretic criteria

Adaptive cancellation of acoustic echoes during double-talk ...

引用

Asilomar Conference on Signals, Systems & Computers

作者： Jake Gunther Todd Moon Department of Electrical & Computer Engineering Utah State University Logan UT USA

ISBN: (纸本)9781424458257

This paper casts the problem of canceling acoustic echoes during a double-talk event as a blind signal separation problem. Principles of independent component analysis are applied to derive algorithms for updating the echo cancellation filter during double-talk, and the near-end signal is separated out from the microphone signal. This approach simplifies the the structure of acoustic echo cancelers by avoiding the need for double-talk detection. The same updating algorithm is applied under all conditions. The proposed approach is compared with existing methods on live data recorded on a speaker phone.

关键词： Signal processing algorithms Finite impulse response filter Echo cancellers Microphones Adaptive filters Loudspeakers Filtering algorithms Error correction Robustness change detection algorithms

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Nipple detection in craniocaudal digital mammograms

Nipple detection in craniocaudal digital mammograms

引用

International Symposium on Electronics in Marine (ELMAR)

作者： Mario Mustra Jelena Bozek Mislav Grgic Faculty of Electrical Engineering and Computing Department of Wireless Communication University of Zagreb Zagreb Croatia

Digital mammography brought many changes in the development of computer aided detection (CAD) algorithms. Many preprocessing steps on mammograms are made automatically before the detection and diagnosis process begins. One of the very important steps is mammogram registration, which helps in finding asymmetrical regions in left and right breast. Mammogram registration is done by determining some key points of the breast. Key points are generally coordinates of the nipple and the pectoral muscle position. Nipple position can be detected using the algorithm presented in this paper. There are two possible nipple locations, outside and inside the skin-air interface. Each of these two cases has different intensity properties that should be taken into consideration when detecting the exact position.

关键词： Breast Mammography Image segmentation Wireless communication Muscles Mutual information Automatic testing change detection algorithms Pixel Multiresolution analysis

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Robust distributed speech recognition using two-stage Filtered Minima Controlled Recursive Averaging

Robust distributed speech recognition using two-stage Filter...

引用

IEEE Workshop on Automatic Speech Recognition and Understanding

作者： Negar Ghourchian Sid-Ahmed Selouani Douglas O'Shaughnessy INRS-EMT University of Quebec Montreal Canada University of Moncton Canada

ISBN: (纸本)9781424454785

This paper examines the use of a new filtered minima-controlled recursive averaging (FMCRA) noise estimation technique as a robust front-end processing to improve the performance of a distributed speech recognition (DSR) system in noisy environments. The noisy speech is enhanced by using a two-stage framework in order to simultaneously address the inefficiency of the voice activity detector (VAD) and to remedy the inadequacies of MCRA. The performance evaluation carried out on the Aurora 2 task showed that the inclusion of FMCRA in the front-end side leads to a significant improvement in DSR accuracy.

关键词： Robust control Speech recognition Acoustic noise Speech enhancement Working environment noise Recursive estimation Frequency Signal to noise ratio Noise robustness change detection algorithms

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Efficient Shot Boundary detection Based on Scale Invariant Features

Efficient Shot Boundary Detection Based on Scale Invariant F...

引用

International Conference on Image and Graphics (ICIG)

作者： Jun Li Youdong Ding Yunyu Shi Wei Li School of Computer Engineering and Science Shanghai University Shanghai China School of Communication and Information Engineering Shanghai University Shanghai China

Shot boundary detection is an important fundamental process in video analysis. A novel shot boundary detection is proposed in this paper. To improve the performance of the algorithm and reduce the computational cost, frames that are clearly not shot boundaries are first removed from the original video. After that, new features are proposed to capture the changing statistics of different kinds of shot transitions so as to identify, not only abrupt shot transitions, but also gradual transitions accordingly. At last, use different algorithms for different kinds of shot transitions to help us to get a better solution for shot boundary detection problem. Numerical experiments in a variety of videos demonstrate that our method is capable of accurately detecting shot transitions, and could greatly reduce the computational cost.

关键词： Gunshot detection systems Computational efficiency Cameras Lighting Histograms Indexing Information retrieval Object detection Motion detection change detection algorithms

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Adaptive Stereo Video Object Segmentation Based on Depth and Spatio-temporal Information

Adaptive Stereo Video Object Segmentation Based on Depth and...

引用

Computer Science and Information Engineering, CSIE, WRI World Congress on FLAGGED

作者： Jian Wei Shigang Wang Liwei Chen Tianxiao Guan Communication Engineering College Jilin University China

In this paper, we present an adaptive stereo video object segmentation algorithm based on depth and spatio-temporal information. First, the object is extracted from the left channel with a new algorithm, which consists of three steps: depth segmentation, adaptive change detection based on twice frame-difference, and edge modification. Then, an inverse matching operation is proposed for object extraction from the right channel according to the extracted object in the left channel and disparity map. Finally experimental results demonstrate that our proposed algorithm successfully extracts moving objects from various stereo video sequences, even if the objects hold still or move slowly in several frames, and this algorithm can solve the problem of extracting multiple objects overlapped.

关键词： Object segmentation Data mining Video compression Educational institutions change detection algorithms Video sequences Object detection Image edge detection Image coding Pixel

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PosPush: A Highly Accurate Location-Based Information Delivery System

PosPush: A Highly Accurate Location-Based Information Delive...

引用

International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM)

作者： Zhao Junhui Wang Yongcai NEC Laboratories China

This paper proposes PosPush, a highly accurate location based information delivery system, which utilizes the high resolution 3D locations obtained from ultrasonic positioning devices to efficiently deliver the location based information to users. This system is designed especially for applications where a 3D space is partitioned into a set of closely neighboring small zones, and as a user moves into one of the zones, the corresponding information will be timely transferred to the user. Although a lot of prior work has been focused on Location based Information Delivery (LIDS), most of them are based on very coarse location data to provide proximity-based information delivery. They cannot be exploited for the above-mentioned applications due to the lack of mechanisms to identify the precise zone and to determine the appropriate delivery time. In order to identify precise zones, PosPush defines a zone model by a set of key location points extracted by a location clustering algorithm, and the zone model is used for online zone identification based on hierarchical searching. In order to determine the appropriate delivery time, an Adaptive Window change detection (AWCD) method is proposed to detect the fast change along the location stream. Finally, we describe a prototypical application which deliveries information of commodities on a shelf based on PosPush, and verify the feasibility and effectiveness of our proposed system.

关键词： Ubiquitous computing Mobile computing National electric code Laboratories Three dimensional displays Data mining change detection algorithms Clustering algorithms Prototypes Context-aware services

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Determining the Training Window for Small Sample Size Classification with Concept Drift

Determining the Training Window for Small Sample Size Classi...

引用

IEEE International Conference on Data Mining Workshops (ICDM Workshops)

作者： Indre Žliobaite Ludmila I. Kuncheva Fac. of Math. & Inf. Vilnius Univ. Vilnius Lithuania School of Computer Science Bangor University Bangor Gwynedd United Kingdom

We consider classification of sequential data in the presence of frequent and abrupt concept changes. The current practice is to use the data after the change to train a new classifier. However, if the window with the new data is too small, the classifier will be undertrained and hence less accurate that the "old'' classifier. Here we propose a method (called WR*) for resizing the training window after detecting a concept change. Experiments with synthetic and real data demonstrate the advantages of WR* over other window resizing methods.

关键词： Electronic mail Monitoring change detection algorithms Data mining Conferences Mathematics Informatics Computer science Data security Communication system traffic control

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Hybrid Immune Detector Maturation Algorithm with LifeCycle Model

Hybrid Immune Detector Maturation Algorithm with LifeCycle M...

引用

International Symposium on Computer Science and its Applications, CSA

作者： Jungan Chen Feng Liang Wenxin Chen Electronic Information Department Zhejiang Wanli University Ningbo Zhejiang China

ISBN: (纸本)9781424449453;9781424449460

In this work, a novel Hybrid Immune Detector Maturation Algorithm is proposed for anomaly detection. T-detector Maturation Algorithm and Dynamic Negative Selection Algorithm are combined through a new state transformation model merged with lifecycle model. Experiment results show that the proposed algorithm solves the population-adapt problem and can generate detectors of higher affinity. The ability to detect common patterns of detectors can be improved through lifecycle model.

关键词： Detectors Heuristic algorithms Immune system Pathogens Cells (biology) Artificial immune systems change detection algorithms Proteins Plasmas Size control

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