block_mean.RdThis function is used to compute the means of successive blocks of samples.
block_mean(X, n, nov)
| X | A vector or a matrix containing samples of a signal in each column. |
|---|---|
| n | The number of samples from X to use in each analysis block. |
| nov | (optional) The number of samples that the next block overlaps the previous block. The default value is 0. |
A list with 2 elements:
Y: A vector or matrix containing the mean value of each block. If X is a mxn matrix, Y is pxn where p is the number of complete n-length blocks with nov that can be made out of m samples, i.e., n+(p-1)*(n-nov) < m
t: The time at which each output in Y is reported, in units of samples of X. So if t[1] = 12, then the value Y[1] corresponds to the “time” 12 samples in X.
samplematrix <- matrix(c(1, 3, 5, 7, 9, 11, 13, 15, 17), byrow = TRUE, ncol = 3) list <- block_mean(samplematrix, n = 3, nov = 1)