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Fourier functions

Computational Algorithm for Green s Functions Fourier Transform of the Newton Polynomial Expansion. [Pg.342]

An extensive study of analytical techniques used in conduction heat transfer requires a background in the theory of orthogonal functions. Fourier series are one example of orthogonal functions, as are Bessel functions and other special functions applicable to different geometries and boundary conditions. The interested reader may consult one or more of the conduction heat-transfer texts listed in the references for further information on the subject. [Pg.76]

A number of methods have been proposed for particle shape analysis, including shape coefficients, shape factors, verbal descriptions, curvature signatures, moment invariants, solid shape descriptors, and mathematical functions (Fourier series... [Pg.1182]

The same concept in proteomics studies has technological implications, e.g., which method, sample preparation protocols, and instrumentation will be used. Again, top-down analysis will be based on isolation, analysis, and characterization of an intact protein to reveal its function. Fourier transformed ion cyclotron resonance mass spectrometry (FT-ICR) (Marshall et al., 1998) facilitates such approach in protein identification as a result of random fragmentation of an intact molecule. In contrary, bottom-up approach is based on up-front fragmentation of the protein in question using various proteolytic enzymes with known specificity (Chalmers et al., 2005 Millea et al., 2006). In these experiments, trypsin is most commonly used. An important question that remains is whether more... [Pg.726]

Mathematical appendice-s introduce (5-functions, Fourier transform, or d-dimensional integration over Gaussian functions, respectively. [Pg.21]

Optical media that can record elementary gratings, such as photorefractive polymers, are in high demand. In many fields, the decomposition of a signal into a superposition of harmonic functions (Fourier analysis) is a powerful tool. In optics, Fourier analysis often provides an efficient way to implement complex operations and is at the basis of many optical systems. For instance, any arbitrary image can be decomposed into a sum of harmonic functions with different spatial frequencies and complex amplitudes. Each of these periodic functions can be considered... [Pg.148]

Infrared spectra are represented in terms of a plot of percentage transmittance versus wavenumber (cm-1). In its most common form, infrared spectroscopy makes use of Fourier transformation, a procedure for interconverting frequency functions and time or distance functions. Fourier-transform IR (FTIR) spectroscopy allows the rapid scanning of spectra, with great sensitivity, coupled with... [Pg.191]

If we want to produce a series that will converge rapidly, so that we can approximate it fairly well with a partial sum containing only a few terms, it is good to choose basis functions that have as much as possible in common with the function to be represented. The basis functions in Fourier series are sine and cosine functions, which are periodic functions. Fourier series are used to represent periodic functions. A Fourier series that represents a periodic function of period 2L is... [Pg.172]

This quantity plays an important role in much of what follows. In fact, as we shall see, what is sometimes measured in light scattering is the spectral density of the electric field of the scattered light. Let us dwell for a moment on some properties of these functions. Fourier inversion of Eq. (2.4.1) leads to an expression for the time-correlation function in terms of the spectral density. [Pg.19]

S. M. Auerbach and C. Leforestier, A new computational algorithm for Green s functions Fourier transform of the Newton polynomial expansion, Comp. Phys. Comm. 78 55 (1993). [Pg.304]

It should be noted that the inverse Fourier transforms of crosspower and autopower spectra are the time domain cross correlation and autocorrelation functions, respectively. Thus, another entry into FT-FAM is to record time domain cross and autocorrelation functions, Fourier transform these, and divide to yield the cell admittance or impedance. Such procedures have been applied.33,34... [Pg.466]

Then, the cepstrum function (Fourier transformation of Eq. (34)) has peaks corresponding to Ti and t2. [Pg.183]

In the last decade, special force fields have been developed for polymers, proteins, biomacromolecules, small organic molecules, carbohydrates and inorganic compounds. Up until now, force field developments and refinements are still an active part of scientific research. The functional forms range from simple quadratic to Morse functions, Fourier expansions, and... [Pg.539]

Deconvolution. Making use of the property of the characteristic function (Fourier transform) expressed by Eq. (9.24), a simple solution exists for expressing one of the components from a (density) function having the form of a convolution... [Pg.410]

Again one parameter only, enters into this expression, and gp is a general function. Fourier transformation of the pair distribution function gives the structure function S p(q)... [Pg.48]

The correlation function g r) is the average of the product of the density fluctuation of the two points with distance r and has the following relationship with dynamic radius distribution function (Fourier transform of the scattering intensity) p r) ... [Pg.208]


See other pages where Fourier functions is mentioned: [Pg.300]    [Pg.195]    [Pg.199]    [Pg.20]    [Pg.179]    [Pg.108]    [Pg.6501]    [Pg.679]    [Pg.558]    [Pg.191]    [Pg.6500]    [Pg.110]    [Pg.222]    [Pg.158]    [Pg.66]    [Pg.459]    [Pg.3245]    [Pg.283]    [Pg.538]    [Pg.148]    [Pg.90]    [Pg.208]   
See also in sourсe #XX -- [ Pg.65 ]




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Apodizing functions Fourier transforms

Autocorrelation function Fourier transform

Cosine function Fourier transform

Delta function Fourier transform

Density functional theory Fourier transform

Dirac delta function — Fourier transform

Distribution function Fourier coefficient

Exponential decay function Fourier transform

Fourier Series with Complex Exponential Basis Functions

Fourier Transform and Discrete Function Continuation

Fourier analysis autocorrelation function

Fourier analysis periodic function

Fourier cosine function

Fourier expansions for basic periodic functions

Fourier potential functions

Fourier representation partition function

Fourier series functions

Fourier series with complex basis functions

Fourier sine function

Fourier transform correlation function

Fourier transform function

Fourier transform function, definition

Fourier transform general EXAFS function

Fourier transform infrared functional groups detection

Fourier transform infrared functions used

Fourier transform infrared spectroscopy functional groups detection

Fourier transform of the -function

Fourier transform of the density correlation function

Fourier transform response function

Fourier transform sine function

Fourier transform wave function properties

Fourier transform, velocity autocorrelation function

Fourier transform-infrared spectroscopy functional group analysis

Fourier transforms of the function

Fourier-Laplace transform, response function

Fourier-transforms (Patterson functions)

Gaussian function Fourier transform

Green function Fourier transform

Green function Fourier transforms

Pair correlation function, Fourier transform

Partition function Fourier coefficients

Periodic functions, Fourier expansions

Potential function, Fourier component

Potential function, Fourier component analysis

Rectangular function Fourier transform

Spectral density function Fourier transform

Spectral function Fourier amplitudes

Stress autocorrelation function, Fourier

Stress autocorrelation function, Fourier transformation

Triangular function Fourier transform

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