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检索条件"主题词=detection algorithms"

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A study on compare pitch detection algorithms

A study on compare pitch detection algorithms

引用

IEEE Signal Processing and Communications Applications (SIU)

作者： Cansu Kadı Seda Gökhüseyin Yard.Doç.Umut Arıöz Bilgisayar Mühendisliği Bölümü Gazi Üniversitesi Ankara Türkiye

In this paper, three algorithms were choosen by reviewing the literature about pitch detection and implemented on the Matlab environment. Runtimes and error rates of these algorithms were compared with each other. These algorithms are Harmonic Product Spectrum (HPS), Cepstral Pitch Tespit (CPD) and Autocorrelation Method. the observed results showed that the fastest algorithm is CPD and the slowest algorithm is HPS. The least error was achieved at 44.1 kHz sample rate for all algorithms. HPS algorithm become more successful with %99 success ratio in noiseless environment.

关键词： detection algorithms Cepstrum Speech Speech processing Speech recognition Signal to noise ratio

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Fusing conventional ECG QRS detection algorithms with an auto-associative neural network for the detection of ectopic beats

Fusing conventional ECG QRS detection algorithms with an aut...

引用

International Conference on Signal Processing Proceedings (ICSP)

作者： G. Clifford L. Tarassenko N. Townsend Department of Engineering Science University of Oxford Oxford UK

The onset of a potentially fatal arrhythmia is often preceded by abnormal morphologies in the QRS complex, the main feature in the electrocardiogram. However, these ectopic beats are difficult to detect as their shape is very similar to those found in a normal sinus rhythm. We show how an auto-associative multi-layer perceptron can be trained to detect normal beats only, so that the subtle abnormalities in the shape of ectopic beats become clearly identifiable. Details of how to train the network for use in a clinical environment are given utilising a new parameter, the variance ratio. Results for a study of the combination of algorithms to produce a robust ectopic beat detector are presented. Finally we discuss an on-line implementation for patient-specific adaptability.

关键词： Electrocardiography detection algorithms Neural networks Heart rate variability Morphology Shape Rhythm Detectors Heart rate Multilayer perceptrons

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Comparison of signal peak detection algorithms for self-gated cardiac cine MRI

Comparison of signal peak detection algorithms for self-gate...

引用

Computers in Cardiology (CinC)

作者： G.M. Nijm A.V. Sahakian S. Swiryn A.C. Larson Northwestern University Evanston IL USA

Self-gating (SG) is a cardiac MRI technique to synchronize data acquisition to the cardiac cycle based upon MR signal triggers as opposed to conventional ECG triggers. Fourteen healthy subjects underwent cardiac MRI scans in four different orientations: two chamber, three chamber, four chamber, and short axis. SG trigger times were computed using two methods, first difference and template matching, and ECG trigger times were also recorded for comparison. The root-mean-square (RMS) error was used to evaluate performance, defined as the variability relative to the mean difference between SG trigger times and ECG trigger times. The mean RMS error was lower for template matching than first difference approach for all scan orientations; the improvement in RMS error was statistically significant for all orientations except short axis. In conclusion, compared to the first difference approach, template matching improved the accuracy of trigger detection for two, three, and four chamber SG cardiac MRI scans.

关键词： Signal detection detection algorithms Magnetic resonance imaging Electrocardiography Frequency synchronization Interference Data acquisition Signal processing Low pass filters Magnetic switching

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A performance comparison of deadlock prevention and detection algorithms in a distributed file system

A performance comparison of deadlock prevention and detectio...

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International Phoenix Conference on Computers and Communications (IPCCC)

作者： A. Hac X. Jin J.-H. Soo AT&T Bell Labaratories Naperville IL USA Department of Computer Science Johns Hopkins University Baltimore MD USA

A description is given of an implementation and performance evaluation of different deadlock prevention and detection algorithms. The algorithms are implemented in a locally distributed system. A number of experiments were executed in a distributed system for various lengths of file operation and different numbers of files. The performance of the system and of each algorithm is evaluated and discussed.< >

关键词： System recovery detection algorithms File systems Computer science Resource management Process control Computational complexity Polynomials Performance analysis Algorithm design and analysis

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Study on Automated Incident detection algorithms for Freeways Based on SVM

Study on Automated Incident Detection Algorithms for Freeway...

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World Congress on Intelligent Control and Automation (WCICA)

作者： Guiyan Jiang Zhili Cai Longhui Gang Haifeng Guo College of Transportation Jilin University Changchun China

Aimed at the problem that many AID algorithms have lower detection rate and higher false alarming rate, this paper proposed a kind of AID algorithms for freeways based on SVM. The eigenvector reflecting traffic state was designed according to selected traffic measures that can be provided by many kinds of traffic sensors. AID algorithms were designed based on different sorts of SVM models and tested and compared with simulated data. The results showed that the performances of proposed methods are better than selected classic AID algorithms

关键词： detection algorithms Traffic control Support vector machines Transportation Educational institutions Algorithm design and analysis Testing Intelligent control Automation

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An Analysis of the Dynamic Community detection algorithms in Complex Networks

An Analysis of the Dynamic Community Detection Algorithms in...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Dhananjay Kumar Singh Ramzi A. Haraty Narayan C. Debnath Prasenjit Choudhury National Institute of Technology Durgapur Durgapur India Lebanese American University Beirut Lebanon School of Computing and Information Technology Eastern International University Vietnam

ISBN: (数字)9781728157542

ISBN: (纸本)9781728157559

Uncovering the dynamics of community structures in complex networks helps us to explore how such community structures change over time. But, understanding these structures is very challenging, especifically in dynamic complex networks where network structure changes frequently and interaction between the individuals changes over time. Recently, many dynamic community detection algorithms have been introduced to capture the dynamics of network community structures. In this paper, we present a detailed analysis of the dynamic community detection algorithms in terms of computation time and accuracy. To provide detailed and extensive analysis, we tested dynamic algorithms on small, medium and large real-world network dataset. Based on the analysis results and network properties, we provide some guidelines that may help to choose the best dynamic community detection algorithms for the given dynamic complex networks.

关键词： Heuristic algorithms detection algorithms Complex networks Employment Machine learning algorithms Classification algorithms Computer science

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Deriving baseline detection algorithms from verbal descriptions

Deriving baseline detection algorithms from verbal descripti...

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New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems

作者： B. Hermberger U.R. Zimmer Dept. of Comput. Sci. & Autom. Tech. Univ. Ilmenau Germany Computer Science Department University of Kaiserslautern Kaiserslautern Germany

The presented strategy of automatic baseline detection in chromatograms combines fuzzy logic and neural network approaches. It is based on a verbal description of a baseline referring to a 2D image of a chromatogram instead of a data vector. Baselines are expected to touch data points on the lower border of the chromatogram forming a mainly horizontal and straight line. That description has been translated into a couple of algorithms forming a two-stage approach first proceeding on a local, and second, on a global level. The first stage assigns a value regarded as the degree of baseline membership or significance to each data point; the second uses a global optimization strategy for coordinating these significances and for producing the final curve, simultaneously. The statistical stability of the proposed approach is superior to known approaches, while keeping the computational effort low.

关键词： detection algorithms Computer science Feature extraction Automation Fuzzy logic Neural networks Stability Area measurement Position measurement Joining processes

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THE EMBEDDABILITY OF LANE detection algorithms ON HETEROGENEOUS ARCHITECTURES

THE EMBEDDABILITY OF LANE DETECTION ALGORITHMS ON HETEROGENE...

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IEEE International Conference on Image Processing

作者： Romain Saussard Boubker Bouzid Marius Vasiliu Roger Reynaud Renault S.A.S. Institut d'Electronique Fondamentale - Universite Paris Sud

ISBN: (纸本)9781479983407

Lane detection plays a crucial role for Advanced Driver Assitance System (ADAS) or autonomous driving applications. Literature shows a lot of lane detection algorithms can work in real time with good results. However, they require much computer processing and cannot be embedded in a vehicle ECU without deep software optimizations. In this paper, we discuss the embeddability of lane detection algorithms by comparing state-of-the-art algorithms in terms of functional performance and computational timing. We identify what essential parts of lane detection are time consuming, and show these parts can be computed in real time on embedded systems.

关键词： ADAS Lane detection Embedded Processing advanced driver assistance systems (ADAS) detection algorithms Lanes COMPUTER PROCESSING ARCHITECTURE functional performance Embedded systems

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An open-source tool to evaluate performance of transient ST segment episode detection algorithms

An open-source tool to evaluate performance of transient ST ...

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Computers in Cardiology (CinC)

作者： F. Jager A. Smrdel R.G. Mark Division of Health Sciences and Technology Harvard and Massachusetts Institute of Technology Cambridge MA USA Faculty of Computer and Information Science University of Ljubljana Ljubljana Slovenia

Performance measures and evaluation protocols for evaluating the performance and robustness of transient ST segment episode detection algorithms are specific, complex and not trivial to realize. We developed an open-source tool (EVAL/spl ***/ST) to evaluate and compare performance and robustness of ST episode detection algorithms. The tool supports all standard and other relevant performance measures, aggregate gross and average statistics, and bootstrap statistical procedure to predict real-world clinical performance. The tool (written in C) is compilable on a wide variety of platforms and contains an additional graphic user interface module (LessTif/Motif environment) for use on the LINUX/UNIX operating systems.

关键词： Open source software detection algorithms Robustness Protocols Measurement standards Aggregates Statistics Graphics User interfaces Linux

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Pre-Coding using Different detection algorithms in MIMO System

Pre-Coding using Different Detection Algorithms in MIMO Syst...

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International Conference on Current Trends in Computer, Electrical, Electronics and Communication

作者： Purnima K. Sharma Dinesh Sharma Akansha Gupta SVEC Tadepalligudem India GE University Dehradun India

ISBN: (纸本)9781538632444

Pre-coding is a general understanding of beamforming to achieve the transmission diversity of the signal. Basically transmitter sends the information which is already coded according to the known knowledge about the channel conditions to the receiver. The pre-coding technique leads to achieve a good performance by eliminating the degradation effects even in the correlation environment upon the channel in the communication system. In this paper, the different detection algorithms: Zero forcing (ZF), Minimum mean square error (MMSE) and Block diagonalization (BD) are used in pre-coding. Many solutions have been proposed for the Co-Channel Interference problem. The main aim of this paper is to select the most suitable Coding techniques to adopt. The analysis is carried by assuming the channel as Rayleigh and modulation scheme is QPSK with 4×4 MIMO system.

关键词： Pre-coding detection algorithms Channel state information (CSI) Zero forcing (ZF) Minimum mean square error (MMSE) Block diagonalization (BD).

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