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检索条件"主题词=Pursuit Algorithms"

共 488 条记录，以下是71-80 订阅

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Visual Distance Estimation for Pure pursuit Based Platooning with a Monocular Camera

Visual Distance Estimation for Pure Pursuit Based Platooning...

引用

American Control Conference

作者： Samuel Mitchell Imran Sajjad Ali Al-Hashimi Soodeh Dadras Ryan M. Gerdes Rajnikant Sharma Department of Electrical and Computer Engineering Utah State University Logan 84322 USA Department of Electrical and Computer Engineering Virginia Polytechnical Institute Blacksburg 24061 USA Department of Aerospace Engineering and Engineering Mechanics University of Cincinnati OH 45221 USA

ISBN: (纸本)9781509045839

We detail a sensing method used as a redundant sensor in automated vehicles. A monocular camera can be used to determine the bearing to a target, and this work extends the sensor capabilities to estimate the distance to the target. For a 640×400 pixel camera, the distance estimation has a 3m sensing range. A modified pure pursuit algorithm is presented which allows vehicle following at close proximity. The design of the experimental platform is described. The sensor system was utilized to enable a 1/10 scale vehicle to follow another vehicle at 3m s~(-1).

关键词： monocular camera Car following vehicle Sensor systems pursuit algorithms Automated vehicles

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Basic pursuit of an adaptive impulse dictionary for bearing fault diagnosis

Basic pursuit of an adaptive impulse dictionary for bearing ...

引用

International Conference on Mechatronics and Control (ICMC)

作者： Jing Wang Jisheng Zhang Chang Chen Feng Tian Lingli Cui National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing China Beijing Aerospace Automatic Control Institute Beijing China Key Laboratory of Advanced Manufacturing Technology Beijing University of Technology Beijing China

ISBN: (纸本)9781479925391

The sparse decomposition based on basic pursuit is an adaptive sparse expression of the signals. An adaptive basic pursuit algorithm that uses an impulse dictionary is introduced in this article for rolling bearing vibration signal processing and fault diagnosis. In the first, a new dictionary model is constructed according to the characteristics and mechanism of rolling bearing faults. Rotational speed of bearing, dimensions of bearing and bearing fault situation, among other parameters incorporates the new mode which could simulate the real fault impulse in different fault levels. Secondly a new method of dictionary establishment called adaptive impulse dictionary combine with basic pursuit introduced in this paper for bearing fault diagnosis. Adaptive impulse dictionary is created by changing characteristic parameters progressively, which make the dictionary built by this method has a lower redundancy and a higher relevance between each dictionary atom and the analyzed vibration signal. The basic pursuit algorithm of an adaptive impulse dictionary is adopted to analyze experiment signal of the early-stage fault signals and composite fault signals of the bearing. The results demonstrate the effectiveness of the basic pursuit algorithm that uses the adaptive impulse dictionary.

关键词： Dictionaries pursuit algorithms Fault diagnosis Vibrations Adaptation models Time-frequency analysis

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Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition

Orthogonal matching pursuit: recursive function approximatio...

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Asilomar Conference on Signals, Systems & Computers

作者： Y.C. Pati R. Rezaiifar P.S. Krishnaprasad Information Systems Laboratory Department of Electrical Engineering University of Stanford Stanford CA USA Institute for Systems Research Department of Electrical Engineering University of Maryland College Park MD USA

We describe a recursive algorithm to compute representations of functions with respect to nonorthogonal and possibly overcomplete dictionaries of elementary building blocks e.g. affine (wavelet) frames. We propose a modification to the matching pursuit algorithm of Mallat and Zhang (1992) that maintains full backward orthogonality of the residual (error) at every step and thereby leads to improved convergence. We refer to this modified algorithm as orthogonal matching pursuit (OMP). It is shown that all additional computation required for the OMP algorithm may be performed recursively.< >

关键词： Matching pursuit algorithms Function approximation pursuit algorithms Dictionaries Convergence

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pursuit Algorithm for optimized load scheduling

Pursuit Algorithm for optimized load scheduling

引用

International Power Engineering and Optimization Conference (PEOCO)

作者： S. Q. Ali S. D. Maqbool T. P. Imthias Ahamed N. H. Malik Saudi Aramco Chair in Electrical Power Department of Electrical Engineering King Saud University Riyadh Saudi Arabia

Demand Response (DR) has gained importance in the recent years. The prime objective of DR is to reduce the maximum demand. There are various DR schemes. This study focuses on price based DR schemes in which consumer is motivated to change his load demand pattern by pricing based incentives. The paper presents an algorithm to solve the load scheduling problem under variable pricing scheme. To this end the paper formulates the load scheduling problem as a singe stage decision making problem and solves it using pursuit Algorithm, which maintains an agreeable balance between exploration and exploitation. An algorithm to generate realistic loads is also presented. Simulation experiments were conducted considering different types of loads and pricing.

关键词： Load modeling Optimization pursuit algorithms Pricing Switches Scheduling Power engineering

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A Group Matching pursuit Algorithm for Sparse Channel Estimation for OFDM Transmission

A Group Matching Pursuit Algorithm for Sparse Channel Estima...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Chun-Jung Wu D.W. Lin Department of Electronics Engineering and Center for Telecommunications Research National Chiao Tung University Hsinchu Taiwan

Time-domain channel estimation techniques have been proposed for OFDM systems for their ability to yield relatively accurate estimates with only a few pilots. Key information needed in such techniques is the multipath delays of the channel. Prior approaches to estimation of multipath delays require regular pilot structures and may not work in slow fading. We propose a group matching pursuit technique for channel estimation. The technique is an extension of the orthogonal matching pursuit technique. It employs the pilots in several OFDM symbols to estimate the multipath delays in a sequential manner, where the pilots can have an arbitrary structure. Simulation results show that the proposed algorithm has superior performance

关键词： Matching pursuit algorithms pursuit algorithms Channel estimation OFDM Delay estimation Signal processing algorithms Time domain analysis Frequency estimation Interpolation Fading

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Projection pursuit in high dimensional data reduction: initial conditions, feature selection and the assumption of normality

Projection pursuit in high dimensional data reduction: initi...

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IEEE International Conference on Systems, Man and Cybernetics

作者： L. Jimenez D.A. Landgrebe School of Electrical Engineering Purdue University West Lafayette IN USA

Supervised classification techniques use labeled samples to train the classifier. Often the number of such samples is limited, thus limiting the precision with which class characteristics can be estimated. As the number of spectral bands becomes large, the limitation on performance imposed by the limited number of training samples can become severe. Such consequences suggest the value of reducing the dimensionality by a pre-processing method that takes advantage of the asymptotic normality of projected data. Using a technique called projection pursuit, a pre-processing dimensional reduction method has been developed based on the optimization of a projection index. A method to estimate an initial value that can more quickly lead to the global maximum is presented for projection pursuit using the Bhattacharyya distance as the projection index.

关键词： Hyperspectral imaging pursuit algorithms Gaussian distribution Optimization methods Data mining Statistics Parameter estimation Feature extraction H infinity control State estimation

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Speech Unit Selection Based on Matching pursuit

Speech Unit Selection Based on Matching Pursuit

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ACS/IEEE International Conference on Computer Systems and Applications

作者： M. Hosseinpour M.N. Ranjbar M. Mousavinejad Multimedia Computing Group Iran Telecommunication Research Center Iran

This paper introduces a new method based on Matching pursuit for speech unit selection. We used the Matching pursuit transform parameters with a comparison algorithm to find the best match for a selected unit in a Text-To-Speech system based on concatenation. We chose Gabor atoms. Also Wigner-Ville distribution implemented for the time-frequency presentation of the transform and we used image processing approach to compare these time-frequency presentations of the acoustic units. On a database of 42 units 92% accuracy was obtained.

关键词： Matching pursuit algorithms Speech synthesis Time frequency analysis Concatenated codes Multimedia computing Electronic mail pursuit algorithms Image processing Image databases Acoustic waves

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Matching pursuit of images

Matching pursuit of images

引用

IEEE International Conference on Image Processing

作者： F. Bergeaud S. Mallat Applied Mathematics Laboratory Ecole Centrale Paris France Courant Institute of Mathematical Sciences New York University New York NY USA

A crucial problem in image analysis is to construct efficient low-level representations of an image, providing precise characterization of features which compose it, such as edges and texture components. An image usually contains very different types of features, which have been successfully modelled by the very redundant family of 2D Gabor oriented wavelets, describing the local properties of the image: localization, scale, preferred orientation, amplitude and phase of the discontinuity. However, this model generates representations of very large size. Instead of decomposing a given image over this whole set of Gabor functions, we use an adaptive algorithm (called matching pursuit) to select the Gabor elements which approximate at best the image, corresponding to the main features of the image. This produces compact representation in terms of few features that reveal the local image properties. Results proved that the elements are precisely localized on the edges of the images, and give a local decomposition as linear combinations of "textons" in the textured regions. We introduce a fast algorithm to compute the matching pursuit decomposition.

关键词： Matching pursuit algorithms Dictionaries pursuit algorithms Image representation Explosions Mathematics Image edge detection Image texture analysis Image analysis Data compression

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LOW COMPLEXITY APPROXIMATE CYCLIC ADAPTIVE MATCHING pursuit

LOW COMPLEXITY APPROXIMATE CYCLIC ADAPTIVE MATCHING PURSUIT

引用

European Signal Processing Conference

作者： Alexandru Onose Bogdan Dumitrescu Department of Signal Processing Tampere University of Technology

ISBN: (纸本)9781467310680

Based on the iterated cyclic adaptive matching pursuit algorithm, we construct a low complexity approximate variant for finding sparse solutions to systems of linear equations. We employ a greedy neighbor permutation strategy coupled with an approximate scalar product matrix to ensure that the complexity of the algorithm remains low. The sparse solution is cyclically updated improving the performance while the spar-sity level is estimated online using the predictive least squares criterion. The performance of the algorithm is similar to that of the non approximate variants while the complexity can be considerably lower.

关键词： Matching pursuit Sparse filters Greedy algorithm Channel identification Complexity Linear system of equations Approximate Matching pursuit algorithms pursuit algorithms Dot product algorithms

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Application of tree-based searches to matching pursuit

Application of tree-based searches to matching pursuit

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： S.F. Cotter B.D. Rao Electrical and Computer Engineering Department University of California San Diego La Jolla CA USA

Matching pursuit (MP) uses a greedy search to construct a subset of vectors, from a larger set, which best represents a signal of interest. We extend this search for the best subset by keeping the K vectors which maximize the selection criterion at each iteration. This is termed the MP:K algorithm and represents a suboptimal search through the tree of all possible subsets where each node is limited to having K children. As a more suboptimal search, we can use the M-L search to select a subset of dictionary vectors, leading to the MP:M-L algorithm. We compare the computation and storage requirements for three variants of the MP algorithm using these searches. Through simulations, the significantly improved performance obtained using the MP:K and MP:M-L algorithms is demonstrated. We conclude that the modified matching pursuit (MMP) algorithm offers the best compromise between performance and complexity using these search techniques.

关键词： Matching pursuit algorithms Dictionaries pursuit algorithms Application software Speech coding Biomagnetics Inverse problems Stock markets Costs

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