- In
mathematics (in particular,
functional analysis),
convolution is a
mathematical operation on two
functions ( f {\displaystyle f} and g {\displaystyle...
- In mathematics, the
convolution theorem states that
under suitable conditions the
Fourier transform of a
convolution of two
functions (or signals) is the...
- mathematics,
convolution is a
binary operation on functions.
Circular convolution Convolution theorem Titchmarsh convolution theorem Dirichlet convolution Infimal...
- In
image processing, a kernel,
convolution matrix, or mask is a
small matrix used for blurring, sharpening, embossing, edge detection, and more. This...
- A
convolutional neural network (CNN) is a
regularized type of feed-forward
neural network that
learns features by
itself via
filter (or kernel) optimization...
-
Circular convolution, also
known as
cyclic convolution, is a
special case of
periodic convolution,
which is the
convolution of two
periodic functions that...
-
neural networks, a
convolutional layer is a type of
network layer that
applies a
convolution operation to the input.
Convolutional layers are some of...
-
distorting the
signal tendency. This is achieved, in a
process known as
convolution, by ****ing
successive sub-sets of
adjacent data
points with a low-degree...
-
represents the '
convolution' of the
encoder over the data,
which gives rise to the term '
convolutional coding'. The
sliding nature of the
convolutional codes facilitates...
-
space of
convolution quotients is a
field of
fractions of a
convolution ring of functions: a
convolution quotient is to the
operation of
convolution as a...
