convmtx: Convolution matrix

In gsignal: Signal Processing

Convolution matrix

Description

Returns the convolution matrix for a filter kernel.

Usage

convmtx(h, n)

Arguments

h	Input, coerced to a vector, representing the filter kernel
n	Length of vector(s) that h is to be convolved with.

Details

Computing a convolution using conv when the signals are vectors is generally more efficient than using convmtx. For multichannel signals, however, when a large number of vectors are to be convolved with the same filter kernel, convmtx might be more efficient.

The code cm <- convmtx(h, n) computes the convolution matrix of the filter kernel h with a vector of length n. Then, cm x gives the convolution of h and x.

Value

Convolution matrix of input h for a vector of length n. If h is a vector of length m, then the convolution matrix has m + n - 1 rows and n columns.

Author(s)

David Bateman [e-mail].
Conversion to R by Geert van Boxtel [e-mail].

See Also

conv

Examples

N <- 1000
a <- runif(N)
b <- runif(N)
cm <- convmtx(b, N)
d <- cm %*% a

cref = conv(a, b)
all.equal(max(d - cref), 0)

gsignal documentation built on Sept. 12, 2024, 6:27 a.m.