4 edition of Improved Gaussian beam-scattering algorithm found in the catalog.
Improved Gaussian beam-scattering algorithm
1995 by National Aeronautics and Space Administration, National Technical Information Service, distributor in [Washington, DC, Springfield, Va .
Written in English
|Other titles||Improved Gaussian beam scattering algorithm.|
|Statement||James A. Lock.|
|Series||[NASA contractor report] -- NASA-CR-204835., NASA contractor report -- NASA CR-204835.|
|Contributions||United States. National Aeronautics and Space Administration.|
|The Physical Object|
/ Anomaly detection based on data stream monitoring and prediction with improved Gaussian process regression algorithm. International Conference on Prognostics and Health Management, PHM Institute of Electrical and Electronics Engineers Inc., Cited by: 1 Guessing Facets: Polytope Structure and Improved LP Decoder Alexandros G. Dimakis, Amin A. Gohari, weight for the additive white Gaussian noise (AWGN) channel, showing that it grows only sublinearly we propose an improved LP decoding algorithm that eliminates. A full-wave theory of plane wave scattering from rough surfaces called the Correction Current (CC) method was recently developed for the two-dimensional scatter problem that have a one-dimensional roughness profile. The method involves a primary field and radiation modes that are plane-wave-type fields that satisfy the boundary conditions at the rough surface. These fields do not satisfy Cited by: 3. I'm studying EM algorithm from this lecture notes. Here I understand the generalized form of EM algorithm, but what confuses me is derivation of EM (Expectation Maximization) algorithm for mixture of Gaussian model. On page 7 of the mentioned notes, following derivation is given.
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Improved Gaussian beam-scattering algorithm James A. Lock - i i The localized model of the beam-shape coefficients for Gaussian beam-scattering theory by a spherical particle provides a great simplification in the numerical implementation of the theory. We derive an.
The localized model of the beam-shape coefficients for Gaussian beam-scattering theory by a spherical particle provides a great simplification in the numerical. Audio Books & Poetry Community Audio Computers & Technology Music, Arts & Culture News & Public Affairs Non-English Audio Spirituality & Religion.
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Cleveland State University [email protected] Physics Faculty Publications Physics Department Improved Gaussian Beam-Scattering Algorithm. We construct a fortran program for Gaussian beam scattering with the localized model and compare its computer run time on a personal computer with that of a traditional Mie scattering program and with three other published methods for computing Gaussian beam scattering.
"Improved Gaussian beam-scattering algorithm," Appl. Opt. 34, We construct a fortran program for Gaussian beam scattering with the localized model and compare its computer run time on a personal computer with that of a traditional Mie scattering program and with three other published methods for computing Gaussian beam scattering.
MiePlot’s calculations for Gaussian beams are based on the algorithms in the following papers: J. Lock, Contribution of high-order rainbows to the scattering of a Gaussian laser beam by a spherical particle JOSA A Vol.
10, No. 4, p.April Free download; J. Lock, Improved Gaussian beam-scattering algorithm. MiePlot's calculations for Gaussian beams are based on the algorithms in the following papers: J. Lock, Contribution of high-order Improved Gaussian beam-scattering algorithm book to the scattering of a Gaussian laser beam by a spherical particle JOSA A Vol.
10, No. 4, p.April Free download; J. Lock, Improved Gaussian beam-scattering algorithm. depending on the time. To overcome this type of problem we require an adaptive algorithm technique.
In this paper we present improved Kalman filter developed with a state space model and autocorrelation least squares(ALS) technique to estimate the state variables, including the Gaussian noise approximation from theCited by: 3.
In Proc. ICPR, Improved Adaptive Gaussian Mixture Model for Background Subtraction Zoran Zivkovic Intelligent and Autonomous Systems Group University of Amsterdam, The Netherlands email: [email protected] Abstract Background subtraction is a common computer vision task.
We show that the analytical form of the beam-shape coefficients makes evident the fact that the excitation rate of morphology-dependent resonances is greatly. The localized model of the beam-shape coefficients for Gaussian beam-scattering theory by a spherical particle provides a great simplification in the numerical implementation of the theory.
We derive an alternative form for the localized coefficients that is more convenient for computer computations and that provides physical insight into the details of the scattering process.
We construct a Cited by: Get this from a library. Improved Gaussian beam-scattering algorithm. [James A Lock; United States. National Aeronautics and Space Administration.].
In this paper, we present software implementations of the Gentry-Peikert-Vaikuntanathan (GPV) digital signature, IBE and ciphertext-policy attribute-based encryption (CP-ABE) schemes based on an efficient Gaussian sampling algorithm for trapdoor lattices, and demonstrate that these three important cryptographic protocols are applikando.com by: 1.
Jan 20, · We construct a FORTRAN program for Gaussian beam scattering with the localized model and compare its computer run time on a personal computer with that of a traditional Mie scattering program and with three other published methods for computing Gaussian beam scattering.
Another algorithm for plane wave and shaped beam scattering by a multilayered sphere has been published by Wu et al.
. Even in recent times, improved algorithms are published on this subject. We report on our implementation of a new Gaussian sampling algorithm for lattice trapdoors.
Lattice trapdoors are used in a wide array of lattice-based cryptographic schemes including digital signatures, attributed-based encryption, program obfuscation and others. Image Object Detection Algorithm Based on Improved Gaussian Mixture Model. LI Xing-liang. Department of Criminal Science and Technology, Nanjing.
Lock constructed computer program to investigate the contribution of high-order rainbows to the scattering of a Gaussian laser beam by a spherical particle and then proposed improved Gaussian beam-scattering algorithm.
However, to our knowledge, the wavelength-dependent intensity distribution of a Gaussian beam scattered by a spherical particle Cited by: 1.
Further developments of recent achievements attained at the University of Florence on Gaussian beam scattering in a Complex Point (CP) source approximation is presented. The scattering of a 2D CP Author: G. Pelosi, S. Selleri. This major objective is to use this measure as a distance metric when applying k-means algorithm.
The novelty of this approach is making use of the proposed distance function as part of k-means algorithm so as to obtain disjoint clusters. This is followed by a case study, which demonstrates the process of Intrusion Detection. An other algorithm for plane wave and shaped beam scattering by a multilayered sphere has been published by Wu et al.
Even today improved algorithms are published on this subject. A scattering sphere can also be chiral or optically applikando.com by: Abstract: Background subtraction is a common computer vision task.
We analyze the usual pixel-level approach. We develop an efficient adaptive algorithm using Gaussian mixture probability density. Recursive equations are used to constantly update the parameters and but also to simultaneously select the appropriate number of components for each pixel.
Gaussian and impulse (salt-and pepper) noise. An algorithm is designed to calculate the PSNR and MSE. The result is discussed for Mean, Median and improved Median filter with different noise density.
Index Terms — FILTERS, MATLAB, MSE, PSNR. INTRODUCTION Digital image processing is a subfield of digital signal processing. A major advantage in the study of microspheres is the power of light-scattering measurements and the theoretical interpretation Lock JA () Improved Gaussian beam-scattering algorithm.
Appl Opt – Google University Science Books, Mill Valley, Cal Google Scholar. Simpson HJ, Marston PL (a) Scattering of white light from Cited by: 1. Jan 20, · Improved Gaussian beam-scattering algorithm.
Lock JA. The localized model of the beam-shape coefficients for Gaussian beam-scattering theory by a spherical particle provides a great simplification in the numerical implementation of the theory.
We derive an alternative form for the localized coefficients that is more convenient for computer Cited by: 48 works Search for books with subject FORTRAN. Search. Improved Gaussian beam-scattering algorithm James A. Lock Read. SEEK-a Fortran optimization program using a feasible directions gradie M.
Savage Read. Introductory computer methods and numerical analysis Ralph H. Pennington. model complexity g-means run intuitive parameter recent method bic penalty hierarchical fashion hypothesis test right number improved algorithm gaussian distribution scoring function full covariance matrix hard algorithmic problem standard statistical significance level alpha key advantage g-means algorithm statistical test present result.
Lasers often generate so-called Gaussian beams, where the transverse profile of the beam's electric field distribution can be described with a Gaussian function.
Here, r is the distance from the beam axis, z is the coordinate along the propagation direction, w(z) is the so-called Gaussian beam radius, and φ(z,r) is a term describing the phase evolution along the beam as well as the.
The Debye series has been a key tool for the understanding of light scattering features, and it is also a convenient method for understanding and improving the design of optical instruments aimed at optical particle sizing.
Gouesbet has derived the Debye series formulation for generalized Lorenz-Mie theory (GLMT). However, the scattering object is a homogeneous sphere, and no numerical result. Propagation of Laser Beam - Gaussian Beam Optics 1. Introduction In most laser applications it is necessary to know the propagation characteristics of laser beam.
In general, laser-beam propagation can be approximated by assuming that the laser beam has an ideal Gaussian intensity profile. The global optimization adopts the ICGA, and the capability of the algorithm evaluation is improved by mapping the probability model of the compact genetic algorithm to a new one through the probability density function of the Gaussian distribution.
In addition, multiple heuristic rules are used to guide the assignment applikando.com by: 3. and the EM Algorithm Reading: ChapterPrince book. Fitting a single Gaussian to a multimodal dataset is likely to give a mean value in an area with low probability, and to overestimate the covariance.
EM Algorithm Unfortunately, oracles don’t exist (or if they do, they won’t talk to us). May 23, · An Improved Gaussian Mixture CKF Algorithm under Non-Gaussian Observation Noise Discrete Dynamics in Nature and Society, Vol.
Effect of Dynamical Accuracy for Uncertainty Propagation of Perturbed Keplerian MotionCited by: In evolutionary computation, differential evolution (DE) is a method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.
Such methods are commonly known as metaheuristics as they make few or no assumptions about the problem being optimized and can search very large spaces of candidate solutions.
Aug 31, · 3. An Improved WiFi Indoor Positioning Algorithm. In this section, an extension and improved algorithm is presented for estimating the location of the target place. The proposed algorithm based on traditional location fingerprinting algorithm improves each step of traditional algorithm and uses the weighted fusion.
It is shown in Figure applikando.com by: Agglomerative hierarchical clustering methods based on Gaussian probability models have recently shown promise in a variety of applications. In this approach, a maximum-likelihood pair of clusters is chosen for merging at each stage.
Unlike classical methods, model-based methods reduce to a recurrence relation only in the simplest case, which corresponds to the classical sum of squares applikando.com by: In particular, it is the first presentation of the standard and improved graph based semisupervised (manifold) algorithms in a textbook.
The book presents both the theory and the algorithms for mining huge data sets by using support vector machines (SVMs) in an iterative way. Gaussian beams are usually considered in situations where the beam divergence is relatively small, so that the so-called paraxial approximation can be applied.
This approximation allows the omission of the term with the second-order derivative in the propagation equation (as derived from Maxwell's equations), so that a first-order differential equation results.
Accurately determining the attenuation along the propagation path leading to a region of interest could significantly improve diagnostic ultrasound tissue characterization since tissue characterization requires exact compensation for the frequency-dependent attenuation along the propagation path.
In a previous study (JASA,), it was shown that the total attenuation can be Cited by: Since the norm is a nonnegative integer and decreases with every step, the Euclidean algorithm for Gaussian integers ends in a finite number of steps.
The final nonzero remainder is gcd(α, β), the Gaussian integer of largest norm that divides both α and β; it is unique up to multiplication by a .Aug 15, · This paper According to the local approximate solution and finite series expression to the beam coefficients presented by Gouesbet and otherwise, we put forword a comprehensive recursive continued fraction algorithm and modify the defect of the existing algorithm, three key functions in scattering light intensity are recursively operated respectively, Mie scattering coefficient is obtained by Cited by: 2.