Browsing by Keywords "Parameter estimation"
Now showing items 1-20 of 74
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3-D motion estimation and wireframe adaptation including photometric effects for model-based coding of facial image sequences
(IEEE, 1994-06)We propose a novel formulation where 3-D global and local motion estimation and the adaptation of a generic wireframe model to a particular speaker are considered simultaneously within an optical flow based framework ... -
Algebraic error analysis of collinear feature points for camera parameter estimation
(Elsevier, 2011-01-04)In general, feature points and camera parameters can only be estimated with limited accuracy due to noisy images. In case of collinear feature points, it is possible to benefit from this geometrical regularity by correcting ... -
An alternative method to measure the likelihood of a financial crisis in an emerging market
(Elsevier BV, 2007)This paper utilizes an early warning system in order to measure the likelihood of a financial crisis in an emerging market economy. We introduce a methodology, where we can both obtain a likelihood series and analyze the ... -
Application of the RIMARC algorithm to a large data set of action potentials and clinical parameters for risk prediction of atrial fibrillation
(Springer, 2015)Ex vivo recorded action potentials (APs) in human right atrial tissue from patients in sinus rhythm (SR) or atrial fibrillation (AF) display a characteristic spike-and-dome or triangular shape, respectively, but variability ... -
The asymptotic properties of estimates of the parameters of nonlinear time series
(Springer, 2000)Asymptotic properties of nonlinear time series parameter estimators constructed on trajectories of stochastic systems under stationary and transient conditions are studied with the use of the least-squares method. The ... -
Automatic performance evaluation of Web search engines
(Elsevier, 2004)Measuring the information retrieval effectiveness of World Wide Web search engines is costly because of human relevance judgments involved. However, both for business enterprises and people it is important to know the most ... -
Average fisher information optimization for quantized measurements using additive independent noise
(2010)Adding noise to nonlinear systems can enhance their performance. Additive noise benefits are observed also in parameter estimation problems based on quantized observations. In this study, the purpose is to find the optimal ... -
Bandwidth selection for kernel density estimation using fourier domain constraints
(Institution of Engineering and Technology, 2016)Kernel density estimation (KDE) is widely-used for non-parametric estimation of an underlying density from data. The performance of KDE is mainly dependent on the bandwidth parameter of the kernel. This study presents an ... -
BSSFP görüntülemede eliptik sinyal modeline dayali eşzamanlı parametre tahmini
(Institute of Electrical and Electronics Engineers, 2018)Faz döngülü dengeli kararlı-durum serbest devinim (bSSFP) görüntüleme tekniginde, görüntüde oluşan rezonans dışı frekanslardan kaynaklı sinyal düşüşlerinin uzamsal konumunu kaydırmak amacıyla her çekimde RF darbelerinin ... -
Collective oscillations in a two-dimensional Bose-Einstein condensate with a quantized vortex state
(The American Physical Society, 2005)We study the effect of lower dimensional geometry on the frequency splitting of the quadrupole oscillations of a harmonically trapped Bose-Einstein condensate due to the presence of a quantized vortex. To study the effect ... -
Comparison of the CAF-DF and sage algorithms in multipath channel parameter estimation
(2008)In this paper, performance of the recently proposed Cross Ambiguity Function - Direction Finding (CAF-DF) technique is compared with the Space Alternating Generalized Expectation Maximization (SAGE) technique. The CAF-DF, ... -
Comparison of two methods for fusing information from a linear array of sonar sensors for obstacle localization
(IEEE, Piscataway, NJ, United States, 1995)The performance of a commonly employed linear array of sonar sensors is assessed for point-obstacle localization intended for robotics applications. Two different methods of combining time-of-flight information from the ... -
Comprehensive lower bounds on sequential prediction
(European Signal Processing Conference, EUSIPCO, 2014)We study the problem of sequential prediction of real-valued sequences under the squared error loss function. While refraining from any statistical and structural assumptions on the underlying sequence, we introduce a ... -
A confidence ellipsoid approach for measurement cost minimization under Gaussian noise
(IEEE, 2012-06)The well-known problem of estimating an unknown deterministic parameter vector over a linear system subject to additive Gaussian noise is studied from the perspective of minimizing total sensor measurement cost under a ... -
Cost minimization of measurement devices under estimation accuracy constraints in the presence of Gaussian noise
(Elsevier, 2012)Novel convex measurement cost minimization problems are proposed based on various estimation accuracy constraints for a linear system subject to additive Gaussian noise. Closed form solutions are obtained in the case of ... -
Coupled deconvolution for frequency extrapolation of electromagnetic solutions with matrix pencil method
(2005)Matrix pencil method (MPM) has been widely used to estimate the parameters of complex-exponential based models. An important application is the extrapolation of the frequency-domain solutions of electromagnetic problems. ... -
Development of new array signal processing techniques using swarm intelligence
(Bilkent University, 2010)In this thesis, novel array signal processing techniques are proposed for identifi- cation of multipath communication channels based on cross ambiguity function (CAF) calculation, swarm intelligence and compressed sensing ... -
Discriminative fine-grained mixing for adaptive compression of data streams
(Institute of Electrical and Electronics Engineers, 2014)This paper introduces an adaptive compression algorithm for transfer of data streams across operators in stream processing systems. The algorithm is adaptive in the sense that it can adjust the amount of compression applied ... -
ECRB-based optimal parameter encoding under secrecy constraints
(Institute of Electrical and Electronics Engineers, 2018)In this paper, optimal deterministic encoding of a scalar parameter is investigated in the presence of an eavesdropper. The aim is to minimize the expectation of the conditional Cramér-Rao bound at the intended receiver ... -
An efficient parallelization technique for high throughput FFT-ASIPs
(2006)Fast Fourier Transformation (FFT) and it's inverse (IFFT) are used in Orthogonal Frequency Division Multiplexing (OFDM) systems for data (de)modulation. The transformations are the kernel tasks in an OFDM implementation, ...
