mvdtt {dtt} | R Documentation |
2D Discrete Trigonometric Transforms
Description
Performs multivariate (2D) discrete sine, cosine or Hartley transform.
Usage
mvdtt(x, type = c("dct", "dst", "dht"), variant = 2, inverted = FALSE)
mvdct(x, variant = 2, inverted = FALSE)
mvdst(x, variant = 2, inverted = FALSE)
mvdht(x, inverted = FALSE)
Arguments
x |
a matrix to be transformed |
type |
type of transform. Default "dct" is discrete cosine, "dst" is discrete sine and "dht" is discrete Hartley |
variant |
a transformation variant - 1...4 for DCT-I...DCT-IV or DST-I...DST-IV. Default is DCT-II or DST-II. Ignored when type = "dht" |
inverted |
if the inverted transform should be performed? |
Details
This function transforms a matrix of real numbers into a matrix of its DCT, DST or DHT components, of the same dimensions. It is done by so-called row-matrix algorithm.
The mvdct, mvdst and mvdht functions are simple wrappers for choosing the type by function name.
Value
A transformed matrix.
Author(s)
Lukasz Komsta
References
1. N. Ahmed, T. Natarajan, and K. R. Rao, "Discrete Cosine Transform", IEEE Trans. Computers, 90-93, Jan 1974. 2. S. A. Martucci, "Symmetric convolution and the discrete sine and cosine transforms", IEEE Trans. Sig. Processing SP-42, 1038-1051 (1994). 3. R. V. L. Hartley, "A more symmetrical Fourier analysis applied to transmission problems," Proc. IRE 30, 144-150 (1942).
See Also
Examples
x = rnorm(100);
dim(x) = c(10,10);
x
mvdct(x)
mvdct(mvdct(x),inverted=TRUE)