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Results 11 - 20
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1,070
Low Complexity Techniques for . . .
, 2004
"... We consider channel identification techniques for a transmission scheme which consists of a sequence of frames with each frame consisting of pilots and data. We consider two systems, the first one having pilots in the time multiplexed fashion, and the second one being a multi-carrier system with fre ..."
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expensive. In response, we propose a novel two-stage estimation technique whose performance is close to that of the optimal estimators but whose complexity is significantly less. The first stage finds smoothed estimates of the channel during previous frames, while the second stage uses these smoothed
Analysis Of Moving Mesh Partial Differential Equations With Spatial Smoothing
- SIAM J. Numer. Anal
, 1997
"... Two moving mesh partial differential equations (MMPDEs) with spatial smoothing are derived based upon the equidistribution principle. This smoothing technique is motivated by the robust moving mesh method of Dorfi and Drury [J. Comput. Phys., 69 (1987), pp. 175--195]. It is shown that under weak con ..."
Abstract
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Cited by 90 (17 self)
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Two moving mesh partial differential equations (MMPDEs) with spatial smoothing are derived based upon the equidistribution principle. This smoothing technique is motivated by the robust moving mesh method of Dorfi and Drury [J. Comput. Phys., 69 (1987), pp. 175--195]. It is shown that under weak
A New Baseline for Image Annotation
"... Abstract. Automatically assigning keywords to images is of great interest as it allows one to index, retrieve, and understand large collections of image data. Many techniques have been proposed for image annotation in the last decade that give reasonable performance on standard datasets. However, mo ..."
Abstract
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Cited by 138 (0 self)
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, most of these works fail to compare their methods with simple baseline techniques to justify the need for complex models and subsequent training. In this work, we introduce a new baseline technique for image annotation that treats annotation as a retrieval problem. The proposed technique utilizes low
Improved Laplacian smoothing of noisy surface meshes
- Computer Graphics Forum
, 1999
"... This paper presents a technique for smoothing polygonal surface meshes that avoids the well-known problem of deformation and shrinkage caused by many smoothing methods, like e.g. the Laplacian algorithm. The basic idea is to push the vertices of the smoothed mesh back towards their previous location ..."
Abstract
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Cited by 69 (0 self)
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This paper presents a technique for smoothing polygonal surface meshes that avoids the well-known problem of deformation and shrinkage caused by many smoothing methods, like e.g. the Laplacian algorithm. The basic idea is to push the vertices of the smoothed mesh back towards their previous
Functional data analysis for sparse longitudinal data.
- Journal of the American Statistical Association
, 2005
"... We propose a nonparametric method to perform functional principal components analysis for the case of sparse longitudinal data. The method aims at irregularly spaced longitudinal data, where the number of repeated measurements available per subject is small. In contrast, classical functional data a ..."
Abstract
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Cited by 123 (24 self)
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analysis requires a large number of regularly spaced measurements per subject. We assume that the repeated measurements are located randomly with a random number of repetitions for each subject and are determined by an underlying smooth random (subject-specific) trajectory plus measurement errors. Basic
Sampling theorems for signals from the union of finite-dimensional linear subspaces
- IEEE Trans. on Inform. Theory
, 2009
"... Compressed sensing is an emerging signal acquisition technique that enables signals to be sampled well below the Nyquist rate, given that the signal has a sparse representation in an orthonormal basis. In fact, sparsity in an orthonormal basis is only one possible signal model that allows for sampli ..."
Abstract
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Cited by 110 (14 self)
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Compressed sensing is an emerging signal acquisition technique that enables signals to be sampled well below the Nyquist rate, given that the signal has a sparse representation in an orthonormal basis. In fact, sparsity in an orthonormal basis is only one possible signal model that allows
A Smoothed Particle Hydrodynamics: Basics and Applications
"... Starting from meshfree methods, the Smoothed Particle Hydrodynamics (SPH) is introduced as a complementary tool for numerical simulation of peculiar hydrodynamic problems: its potential advantages with respect to traditional grid-based techniques are pointed out. The governing fluid dynamic equation ..."
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Starting from meshfree methods, the Smoothed Particle Hydrodynamics (SPH) is introduced as a complementary tool for numerical simulation of peculiar hydrodynamic problems: its potential advantages with respect to traditional grid-based techniques are pointed out. The governing fluid dynamic
Channel smoothing: Efficient robust smoothing of low-level signal features
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
, 2006
"... In this paper, we present a new and efficient method to implement robust smoothing of low-level signal features: B-spline channel smoothing. This method consists of three steps: encoding of the signal features into channels, averaging of the channels, and decoding of the channels. We show that line ..."
Abstract
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Cited by 36 (22 self)
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channel smoothing with three other robust smoothing techniques: nonlinear diffusion, bilateral filtering, and mean-shift filtering, both theoretically and on a 2D orientation-data smoothing task. Channel smoothing is found to be superior in four respects: It has a lower computational complexity
Triple Product Wavelet Integrals for All-Frequency Relighting
, 2004
"... This paper focuses on efficient rendering based on pre-computed light transport, with realistic materials and shadows under allfrequency direct lighting such as environment maps. The basic difficulty is representation and computation in the 6D space of light direction, view direction, and surface po ..."
Abstract
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Cited by 109 (9 self)
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This paper focuses on efficient rendering based on pre-computed light transport, with realistic materials and shadows under allfrequency direct lighting such as environment maps. The basic difficulty is representation and computation in the 6D space of light direction, view direction, and surface
Immersed boundary technique for turbulent flow simulations
- Appl. Mech. Rev
"... The application of the Immersed Boundary ͑IB͒ method to simulate incompressible, turbulent flows around complex configurations is illustrated; the IB is based on the use of non-body conformal grids, and the effect of the presence of a body in the flow is accounted for by modifying the governing equ ..."
Abstract
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Cited by 33 (2 self)
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of computer power strongly encourages engineers to rely on computational fluid dynamics ͑CFD͒ for the design and testing of new technological solutions. Numerical simulations allow the analysis of complex phenomena without resorting to expensive prototypes and difficult experimental measurements. The basic
Results 11 - 20
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1,070
