- many situations,
discrete convolutions can be
converted to
circular convolutions so that fast
transforms with a
convolution property can be used to implement...
- or more
layers that
perform convolutions.
Typically this
includes a
layer that
performs a dot
product of the
convolution kernel with the layer's input...
- In mathematics, the
convolution theorem states that
under suitable conditions the
Fourier transform of a
convolution of two
functions (or signals) is the...
- kernel, respectively. This
generalizes immediately to nD
convolutions.
Commonly used
convolutions are 1D (for
audio and text), 2D (for images), and 3D (for...
- respectively. Many well
known distributions have
simple convolutions: see List of
convolutions of
probability distributions. The
general formula for the...
-
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...
-
negacyclic convolution is a
convolution between two
vectors a and b. It is also
called skew
circular convolution or
wrapped convolution. It
results from...
- mathematics,
convolution is a
binary operation on functions.
Circular convolution Convolution theorem Titchmarsh convolution theorem Dirichlet convolution Infimal...
-
property can be
exploited to make
these convolutions easier to evaluate. The
convolution theorem states that a
convolution in the real
domain can be represented...
-
Circular convolution, also
known as
cyclic convolution, is a
special case of
periodic convolution,
which is the
convolution of two
periodic functions that...
