The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Relative motion between a camera and its subject introduces motion blur in captured images. Reconstruction of unblurred images is ill-posed due to the loss of spatial high frequencies. The flutter shutter preserves high frequencies by rapidly opening and closing the shutter during exposure, providing greatly improved reconstruction. We address two open problems in the reconstruction of unblurred images...
Contour-based corner detectors directly or indirectly estimate a significance measure (e.g. curvature) on the points of a planar curve and select the curvature extrema points as corners. While an extensive number of contour-based corner detectors have been proposed over the last four decades, there is no comparative study of recently proposed promising detectors. This paper is an attempt to fill this...
As Internet sustains high-speed development, its service quality, reliability and efficiency are taken into account once again. Some solutions are proposed. Network measurement technology can reflects operation condition of IP network and discover network abnormity in time which provides reference for orientation and discovery of network fault. Firstly, interval algorithm of packet pair and packet...
We propose a novel reliability estimation method which judges whether the recognition result is correct or erroneous in character recognition. To solve the problem, this paper have the problem of the reliability estimation return to the constraint satisfaction problems of maximizing the error-rejection rate when the own-category relief rate is given. To calculate the correct-acceptance rate and error-rejection...
The problem of resolution enhancement in images from multiple low-resolution captures has garnered significant attention over the last decade. While initial algorithms estimated the unknown high-resolution (hi-res) image for a fixed set of imaging model parameters, significant recent advances have been in simultaneous maximum aposteriori (MAP) estimation of the hi-res image as well as the geometric...
This paper presents a revised approach for estimating time-varying Origin-Destination flows in urban networks. This approach lend itself to a formulation as state-space model, and constructs an additional set of system observation constraints with estimated intersection turning flows to improve the system observability. Since there may exist errors in DTA or simulation models, this approach further...
Waiting time-optimal scheduling of items for broadcasting in wireless environments requires knowledge of their corresponding access probabilities. Feedback mechanisms have been proposed, according to which the clients notify the server of their needs directly or indirectly. This feedback is then processed at the server, producing the items' access probability distribution function estimate. Based...
A distributed estimation problem using sensor networks is considered. A parameter is observed in noise by sensors, phase-modulated using complex exponentials and transmitted over a Gaussian multiple-access channel to a fusion center. The received signal is used to estimate the parameter under observation. The system is evaluated using the asymptotic variance of the estimate. The relationship between...
Defect repair has become a necessary process to enhance the overall yield for memories since manufacturing a natural good memory is difficult in current memory technologies. This paper presents an yield-estimation scheme, which utilizes an induction-based approach to calculate the probability that all defects in a memory can be successfully repaired by a two-dimensional redundancy design. Unlike previous...
Minimum covariance spectrum (MCS) estimation method is not robust in alpha stable distribution because of no finite covariance. A pseudo-power spectrum estimation method based on fractional low-order covariance (FLOC) matrix is proposed in this paper to improve MCS estimation method. The pseudo-power of a frequency point can be obtained by using FLOC matrix, and its pseudo-power spectrum (PPS) can...
Computation of a signal's estimated covariance matrix is an important building block in signal processing, e.g., for spectral estimation. It involves a sliding window over an input matrix, and the summation of products to construct any given output-matrix element. Any given product contributes to multiple output elements, thereby complicating parallelization. We present a novel algorithm that attains...
Based on the difference between ideal electromagnetic vectors and misorientation electromagnetic vectors, a novel estimation method using two reference signals with unknown parameters is presented. When electromagnetic vector sensor array misorientates, the vector sensor deviates from its normal orientation and error is caused. Subspace algorithm based on eigenvalue decomposition is very sensitive...
The human arm performs a variety of skillful movements by adjusting dynamic characteristics of musculoskeletal system. Such characteristics of musculoskeletal system can be mainly described as viscoelasticity of human multi-joint arm. Many biomedical applications of robotics require knowledge of the viscoelasticity of human multi-joint arm in order to make motion appear more natural and accurately...
Array signal processing involves signal enumeration and source localization. Array signal processing is centered on the ability to fuse temporal and spatial information captured via sampling signals emitted from a number of sources at the sensors of an array in order to carry out a specific estimation task: source characteristics (mainly localization of the sources) and/or array characteristics (mainly...
The present work developed a basis to explore numerous damage events utilizing Self-Organizing Map (SOM) introducing Kullback-Leibler (KL) divergence as an appropriate similarity for frequency spectra of damage events. Firstly, we validated the use of KL divergence to frequency spectra of damage events. The experiment using the datasets of damage related sounds showed that the kernel SOM using KL...
Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We give an algorithm for this problem that has running time and data requirements polynomial in the dimension and the inverse of the desired accuracy, with provably minimal assumptions on the Gaussians. As a simple consequence of our learning algorithm, we we give the first...
In this paper, the design of digital integrator is investigated. First, the Stancu polynomial is described. Then, non-integer delay sample estimation of discrete-time sequence is derived by using Stancu polynomial. Next, the numerical integration rules and non-integer delay sample estimation are applied to obtain the transfer function of digital integrator. Finally, some numerical comparisons with...
This paper proposes a lattice-reduction aided detection (LRAD) based on the Gram-Schmidt (GS) procedure. In MIMO systems, LRAD achieves good bit error ratios (BERs). The proposed detection method reduces the column vectors of the channel matrix using the LLL algorithm and then the GS procedure to create mutually purely orthogonal column vectors in order to improve BER. The proposed detection method...
Since the estimation performance of bayesian filters is largely affected by the observations, sensor management has attracted many researchers in bayesian filtering. State Prior Probability Distribution (SPPD) at each time step plays an important role in the dynamic optimization of sensor parameter. However, before all measurements came, SPPD at each time step is not available in the static optimization...
Pulse Doppler (PD) radar system with monopulse estimation can effectively acquire the location information of weak target, since it combines the advantages of coherent integration and monopulse technique. However, as it takes some time to realize the coherent integration, target motion will result in the decline of integration efficiency, thus affects the angle measurement precision. This paper investigates...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.