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convolutions

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Definitions of convolutions in various dictionaries:

noun - the shape of something rotating rapidly

noun - a convex fold or elevation in the surface of the brain

noun - the action of coiling or twisting or winding together

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Possible Dictionary Clues
Plural form of convolution.
a sinuous fold in the surface of the brain.
a coil or twist.
a thing that is complex and difficult to follow.
A thing that is complex and difficult to follow.
A coil or twist.
A sinuous fold in the surface of the brain.
A function derived from two given functions by integration which expresses how the shape of one is modified by the other.

Convolutions might refer to
In mathematics (and, in particular, functional analysis) Convolution is a mathematical operation on two functions (f and g) to produce a third function that expresses how the shape of one is modified by the other. The term convolution refers to both the result function and to the process of computing it. Convolution is similar to cross-correlation. For discrete, real-valued functions, they differ only in a time reversal in one of the functions. For continuous functions, the cross-correlation operator is the adjoint of the convolution operator. * It has applications that include probability, statistics, computer vision, natural language processing, image and signal processing, engineering, and differential equations. * The convolution can be defined for functions on Euclidean space, and other groups. For example, periodic functions, such as the discrete-time Fourier transform, can be defined on a circle and convolved by periodic convolution. (See row 11 at DTFT § Properties.) A discrete c

Convolutions might refer to

In mathematics (and, in particular, functional analysis) Convolution is a mathematical operation on two functions (f and g) to produce a third function that expresses how the shape of one is modified by the other. The term convolution refers to both the result function and to the process of computing it. Convolution is similar to cross-correlation. For discrete, real-valued functions, they differ only in a time reversal in one of the functions. For continuous functions, the cross-correlation operator is the adjoint of the convolution operator.
* It has applications that include probability, statistics, computer vision, natural language processing, image and signal processing, engineering, and differential equations.
* The convolution can be defined for functions on Euclidean space, and other groups. For example, periodic functions, such as the discrete-time Fourier transform, can be defined on a circle and convolved by periodic convolution. (See row 11 at DTFT § Properties.) A discrete c

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