convolution

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convolution

Anatomy any of the numerous convex folds or ridges of the surface of the brain
Collins Discovery Encyclopedia, 1st edition © HarperCollins Publishers 2005

convolution

(kon-vŏ-loo -shŏn) A mathematical operation that is performed on two functions and expresses how the shape of one is ‘smeared’ by the other. Mathematically, the convolution of the functions f(x) and g(x) is given by
(u )g(x u )du

It finds wide application in physics; it describes, for example, how the transfer function of an instrument affects the response to an input signal. See also autocorrelation function; radio-source structure.

Collins Dictionary of Astronomy © Market House Books Ltd, 2006
The following article is from The Great Soviet Encyclopedia (1979). It might be outdated or ideologically biased.

Convolution

 

The convolution of the two functions f1(x) and f2(x) is the function

The convolution of f1(x) and f2(x) is sometimes denoted by f1 * f2

If f1 and f2 are the probability density functions of two independent random variables X and Y, then f1 * f2 is the probability density function of the random variable X + Y. If Fk(x) is the Fourier transform of the function fk(x), that is,

then F1(x) F2(x) is the Fourier transform of the function f1 * f2. This property of convolutions has important applications in probability theory. The convolution of two functions exhibits an analogous property with respect to the Laplace transform; this fact underlies broad applications of convolutions in operational calculus.

The operation of convolution of functions is commutative and associative—that is, f1 * f2 = f2 * f1 and f1 * (f2 * f3) = (f1 * f2) * f3. For this reason, the convolution of two functions can be regarded as a type of multiplication. Consequently, the theory of normed rings can be applied to the study of convolutions of functions.

The Great Soviet Encyclopedia, 3rd Edition (1970-1979). © 2010 The Gale Group, Inc. All rights reserved.

convolution

[‚kän·və′lü·shən]
(anatomy)
A fold, twist, or coil of any organ, especially any one of the prominent convex parts of the brain, separated from each other by depressions or sulci.
(geology)
The process of developing convolute bedding.
A structure resulting from a convolution process, such as a small-scale but intricate fold.
(mathematics)
The convolution of the functions ƒ and g is the function F, defined by
(statistics)
A method for finding the distribution of the sum of two or more random variables; computed by direct integration or summation as contrasted with, for example, the method of characteristic functions.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
References in periodicals archive ?
Conversely, Convolve argued for a broader application of the waiver--specifically an application that covered advice received by Seagate from its in-house and trial counsel.
According to the compliant, "For more than a year, beginning in October 1998, Convolve held discussions with and gave demonstrations for engineers and executives of both Compaq and Seagate for the purpose of licensing their technologies to these two companies."
As a radar training device or active countermeasure, the ACT device may be used to convolve a threat radar pulse with a user-defined radar cross-section profile to simulate the return from a complex target at any aspect angle.
where [M.sub.j] represents a selection of input maps, "*" indicates the convolution computation; the essence of which is to convolve the convolution kernel w on all the associated feature maps of the layer l - 1; then sum them, together with the bias as the input of the activation function and finally get the output of convolution layer l.
To simplify the procedure one can convolve the vertical angular spread of the electron beam with the contribution from the beam size first.
Usually, the first step is to convolve the sampled image with a low-pass filter so that the noise interference during the sampling process can be removed.
Through this kind of process of elimination, a TIA can estimate each component of jitter and convolve them to determine TJ.
While deconvolution and spectral synthesis techniques are being investigated, for convenience the approach taken for this paper is to convolve the irradiance with a common slit-scattering function (20, 21).
Even though the Fourier transform is slow, it is still the fastest way to convolve an image with a large kernel filter.
The normalized 2d form image is converted into 1D signal, and these signals are used to convolve with 1d Gabor wavelets.