Create blur of the box car type.
An integer specifying the number of observations in each channel
A numeric vector of length m where each element specifies the box car widths to blur in each channel.
Creates a matrix of dimension n by m which contains a normalised (unit energy in each column) set of box car blur functions. The generated box-car functions are governed by an input vector
BA which specifies the box car width. For the method to adhere to the theory described in Wishart (2014), the box car widths should be a Badly Approximable (BA) number.
A n by m matrix of normalised box car blur.
1 2 3 4 5 6 7 8 9 10 11 12 13
n <- 1024 width <- 1/sqrt(c(89,353)) # Plot the box car blur blurMat <- boxcarBlur(n, width) x <- (1:n)/n matplot(x, blurMat, type = 'l', main = paste('Set of box car blur functions')) # Plot a LIDAR signal and its multichannel box car blurred version signal <- makeLIDAR(n) matplot(x, signal, type = 'l', main = 'LIDAR test signal') blurredSignal <- blurSignal(signal, blurMat) matplot(x, blurredSignal, type = 'l', main = 'Box car blurred LIDAR test signals')
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.