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检索条件"主题词=Pursuit Algorithms"

共 488 条记录，以下是81-90 订阅

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Compressed Sensing Data Reconstruction Using a Modified Subspace pursuit Algorithm Under the Condition of Unknown Sparsity

Compressed Sensing Data Reconstruction Using a Modified Subs...

引用

International Congress on Image and Signal Processing

作者： Xingyuan Wang Lin Ni Dept. of Electron. Eng. & Inf. Sci. (EEIS) Univ. of Sci. & Technol. of China Hefei China

ISBN: (纸本)9781479958368

This paper introduces the fundamental knowledge of compressed sensing theory, and analyzes the important reconstruction algorithms such as orthogonal matching pursuit, subspace pursuit, but we should know the sparse degree. The sparsity adaptive matching pursuit algorithm can be terminated by setting the conditions to make adaptive sparse degree. This paper puts forward a modified sparsity adaptive algorithm based on those three algorithms. The simulation results show that new algorithm can accurately reconstruct the original signal, and has better results than SAMP.

关键词： compressed sensing iterative methods signal reconstruction time-frequency analysis SAMP adaptive sparse degree compressed sensing data reconstruction algorithm modified subspace pursuit algorithm orthogonal matching pursuit sparsity adaptive matching pursuit algorithm unknown sparsity condition Algorithm design and analysis Approximation algorithms Compressed sensing Image reconstruction Matching pursuit algorithms Reconstruction algorithms Signal processing algorithms sparse approximation sparsity adaptive matching pursuit subspace pursuit Compressed sensing Signal reconstruction Matching pursuit algorithms 4-(4-sulfophenylazo)-2-mercuriphenol Reconstruction algorithm Algorithm design and analysis matching pursuits Signal processing algorithms Time frequency analysis Approximation algorithms image reconstruction iterative methods data reconstruction pursuit algorithms

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A comparison of continuous and discretized pursuit learning schemes

A comparison of continuous and discretized pursuit learning ...

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IEEE International Conference on Systems, Man and Cybernetics

作者： B.J. Oommen M. Agache School of Computer Science Carleton University Ottawa Canada

A learning automaton is an automaton that interacts with a random environment, having as its goal the task of learning the optimal action based on its acquired experience. Many learning automata have been proposed, with the class of estimator algorithms being among the fastest ones. Thathachar and Sastry (1986), through the pursuit algorithm, introduced the concept of learning algorithms that pursue the current optimal action, following a reward-penalty learning philosophy. Later, Oommen and Lanctot 1990) extended the pursuit algorithm into the discretized world by presenting the discretized pursuit algorithm, based on a reward-inaction learning philosophy. We argue that the reward-penalty and reward-inaction learning paradigms in conjunction with the continuous and discrete models of computation lead to four versions of pursuit learning automata. We contend that a scheme that merges the pursuit concept with the most recent response of the environment permits the algorithm to utilize the LA's long-term and short-term perspectives of the environment. We present all the four resultant pursuit algorithms, and also present a quantitative comparison between them.

关键词： Learning automata pursuit algorithms Stochastic processes Computer science Computational modeling Convergence Intelligent systems Uncertainty Mathematical model Feedback

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Early Failure Detection of Bearing Based on Probabilistic Matching pursuit

Early Failure Detection of Bearing Based on Probabilistic Ma...

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International Conference on Innovative Computing, Information and Control (ICICIC)

作者： Jianjun Zhang Zhongsheng Wang Jiancang Ma College of Aeronautics Northwestern Poly technical University Xi'an China Northwestern Polytech. Univ. Xian

A signal adaptive time-frequency decomposition to extend matching pursuit algorithm-probabilistic matching pursuit is studied. This method is firstly introduced into early fault diagnosis of rolling bearing. It adopts Gaussian wavelet to construct the time-frequency atoms dictionary. Applying probabilistic matching pursuit, we can accurately extract the early defect features by computing coherence between vibration signals of rolling bearing with inner or outer race fault and the dictionary elements. Comparing with matching pursuit, probabilistic matching pursuit represents vibration signal features with very fine resolution and sparsity in the time-frequency domain through computer simulations. Simultaneously, experiment results confirm that probabilistic matching pursuit is quite effective to facilitate the early diagnosis and identification of rolling bearing faults.

关键词： Matching pursuit algorithms Time frequency analysis Dictionaries Fault diagnosis Rolling bearings Portable media players Discrete wavelet transforms Continuous wavelet transforms pursuit algorithms Fault detection

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Analysis of sound signals with high resolution matching pursuit

Analysis of sound signals with high resolution matching purs...

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IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis

作者： R. Gribonval E. Bacry S. Mallat P. Depalle X. Rodet I. R. C. A. M. Paris France CNRS Paris France CMAP Ecole Polytechinque France IRCAM Paris ÃŽle-de-France FR I. R. C. A. M. France

Sound recordings include transients and sustained parts. Their analysis with a basis expansion is not rich enough to represent efficiently all such components. pursuit algorithms choose the decomposition vectors depending upon the signal properties. The dictionary among which these vectors are selected is much larger than a basis. Matching pursuit is fast to compute, but can provide coarse representations. Basis pursuit gives a better representation but is very expensive in terms of calculation time. This paper develops a high resolution matching pursuit: it is a fast, high time-resolution, time-frequency analysis algorithm, that makes it likely to be used far musical applications.

关键词： Signal analysis Signal resolution Matching pursuit algorithms Dictionaries pursuit algorithms Time frequency analysis Speech analysis Computer aided manufacturing CADCAM Iterative algorithms

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Reduction of the noise and speckle in Doppler blood flow spectrograms by using matching pursuit with pulse coupled neural network

Reduction of the noise and speckle in Doppler blood flow spe...

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

作者： Haiyan Li Yufeng Zhang Dan Xu Zhengyao Bai School of Information Science and Engineering Yunnan University Kunming Yunnan China

To reduce noise and speckles in the spectrograms of Doppler blood flow signals, a novel method, called matching pursuit with pulse coupled neural network (MPPCNN), has been proposed. The method considered is an iterative decomposition algorithm, which decomposes the Doppler ultrasound signals into linear expansion of atoms in a time-frequency dictionary using the matching pursuit (MP) for de-noising the Doppler ultrasound signal. Then, a simplified unidirectional pulse coupled neural network is used to calculate the firing matrix of the de-noised spectrogram. The Doppler speckles of the de-noised spectrogram are located and removed through analyzing and processing the PCNN firing matrix. Experiments were conducted on simulation signals whose SNRs are 0 dB, 5 dB and 10 dB. The result shows that the MPPCNN performs effectively in reducing noise, eliminating Doppler speckles, and enhancing the Doppler spectrograms.

关键词： Noise reduction Speckle Blood flow Spectrogram Matching pursuit algorithms Neural networks Ultrasonic imaging Iterative methods Iterative algorithms pursuit algorithms

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Intrusion Detection System Based on Matching pursuit

Intrusion Detection System Based on Matching Pursuit

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International Workshop on Intelligent Networks and Intelligent Systems (ICINIS)

作者： Rafal Renk Lukasz Saganowski Witold Holubowicz Michal Choras Adam Mickiewicz University Poznań Poland

In this paper we present our original methodology, in which Matching pursuit is used for networks anomaly and intrusion detection. We propose to use mean projection of the reconstructed network signal to determine if ... 详细信息

关键词： Intrusion detection Matching pursuit algorithms Signal processing algorithms Dictionaries Discrete wavelet transforms Continuous wavelet transforms Wavelet analysis Intelligent networks pursuit algorithms Telecommunication traffic

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An Adaptive Matching pursuit Algorithm for Linear Frequency Modulation Signal Compressive Sampling

An Adaptive Matching Pursuit Algorithm for Linear Frequency ...

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International Congress on Image and Signal Processing

作者： Qi Yu Jubo Zhu Coll. of Sci. Nat. Univ. of Defense Technol. Changsha China

ISBN: (纸本)9781479958368

We focus on the problem of compressive sampling of Linear Frequency Modulation (LFM) signal via Matching pursuit. We designed an adaptive matching pursuit algorithm through dynamic dictionary optimization. Results from the sparse property of LFM under Chirplet Basis, we use Chirplet atom to generate dictionary. Then by feeding the information of signal back into dictionary generating process, the grid error can be reduced significantly. It also allows us to get better parameter estimation results and lower signal sampling rate. We demonstrate computing performance on a LFM signal sampling example.

关键词： chirp modulation compressed sensing frequency modulation iterative methods linear programming parameter estimation radar signal processing signal sampling time-frequency analysis CS radar signal processing Chirplet atom Chirplet basis LFM signal compressive sampling LFM sparse property adaptive matching pursuit algorithm dynamic dictionary optimization grid error reduction linear frequency modulation signal lower signal sampling rate signal information feeding Accuracy Algorithm design and analysis Chirp Dictionaries Heuristic algorithms Matching pursuit algorithms Signal processing algorithms Chirp modulation Matching pursuit algorithms Parameter estimation Dictionaries as Topic signal sampling Algorithm design and analysis Radar signal processing Signal processing algorithms Heuristic algorithms Frequency modulation Compressed sensing Time frequency analysis iterative methods linear programming pursuit algorithms

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Estimation of time-varying channels with orthogonal matching pursuit algorithm

Estimation of time-varying channels with orthogonal matching...

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IEEE Princeton Section Sarnoff Symposium

作者： Gunes Z. Karabulut Abbas Yongacoglu School of Information Technology and Engineering University of Ottawa Ontario Canada

The adaptive matching pursuit (AMP) algorithm was proposed as a basis selection algorithm for time-varying dictionaries. We propose an adaptive orthogonal matching pursuit (AOMP) algorithm for estimation of time-varying channels with sparse impulse response samples. The performance of the AOMP algorithm is then compared with the AMP algorithm through mean squared identification error and by means of a decision feedback equalizer. It is shown, using simulation results, that the AOMP algorithm, by avoiding the re-selection problem that exists in the AMP algorithm, obtains more accurate channel estimates

关键词： Matching pursuit algorithms Time-varying channels pursuit algorithms Dictionaries Decision feedback equalizers Channel estimation Information technology Signal resolution Heuristic algorithms Computational complexity

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Ultrasonic Signal Detection Via Improved Sparse Representations

Ultrasonic Signal Detection Via Improved Sparse Representati...

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1st WRI Global Congress on Intelligent Systems (GCIS 2009)

作者： Qi Ai-ling Ma Hong-wei Liu Tao Xian Univ Sci & Technol Sch Comp Sci & Technol Xian 710054 Peoples R China Xian Univ Sci & Technol Sch Mech Engn Xian 710054 Peoples R China Xian Univ Sci & Technol Safety Technol Inst Xian 710054 Peoples R China

ISBN: (纸本)9780769535715

Interference noising originating from the ultrasonic testing defect signal seriously influences the accuracy of the signal extraction and defect location. Sparse signal representations are the most recent technique in the signal processing This technique is utilized to extract casting ultrasonic flaw signals in this paper. But its calculation is huge A new unproved matching pursuit algorithm is proposed Artificial fish swarm algorithm is a stochastic global optimization technique proposed lately. A hybrid artificial fish swarm optimization algorithm based on mutation operator and simulated annealing are employed to search the best atomic. it can greatly reduce complexity of sparse representations Experimental results to detect ultrasonic flaw echoes contaminated by white Gaussian additive noise or correlated noise are presented in the paper. Compared with the wavelet transform. the results show that the signal quality and performance parameters are improved obviously.

关键词： Signal detection Signal processing algorithms Matching pursuit algorithms Marine animals Interference Testing Signal representations Casting pursuit algorithms Stochastic resonance

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A new sinusoidal modelling approach for parametric speech and audio coding 3

A new sinusoidal modelling approach for parametric speech an...

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3rd International Symposium on Image and Signal Processing and Analysis (ISPA)

作者： Vera-Candeas, P Ruiz-Reyes, N Curpián-Alonso, J Rosa-Zurera, M Univ Jaen Polytech Sch Dept Elect Jaen 23700 Spain

ISBN: (纸本)953184061X

In this paper we propose a new approach based on energy-adaptive matching pursuits to improve sinusoidal modelling for parametric speech and audio coding. To reduce the complexity of the algorithm, an over-complete dictionary composed of complex exponentials is used. An analysis-synthesis windows scheme that avoids overlapping is proposed. For efficient quantization of sinusoidal model parameters, a new algorithm that largely reduces the side information required by the decoder is described. Experimental results show evidence of the advantages of the proposed method to be integrated into multi-parts models for parametric speech/audio coding.

关键词： Audio coding Decoding Dictionaries Matching pursuit algorithms Parameter estimation Psychoacoustic models pursuit algorithms Signal analysis Signal processing algorithms Speech coding

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