- In
mathematics (in particular,
functional analysis),
convolution is a
mathematical operation on two
functions f {\displaystyle f} and g {\displaystyle...
- A
convolutional neural network (CNN) is a type of
feedforward neural network that
learns features via
filter (or kernel) optimization. This type of deep...
- In mathematics, the
convolution theorem states that
under suitable conditions the
Fourier transform of a
convolution of two
functions (or signals) is 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...
-
neural networks, a
convolutional layer is a type of
network layer that
applies a
convolution operation to the input.
Convolutional layers are some of...
- 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...
- In mathematics,
Dirichlet convolution (or
divisor convolution) is a
binary operation defined for
arithmetic functions; it is
important in
number theory...
- Free
convolution is the free
probability analog of the
classical notion of
convolution of
probability measures. Due to the non-commutative
nature of free...
