simUnivariate: Generate univariate signals of different type

In dsp: Dynamic Shrinkage Process and Change Point Detection

Generate univariate signals of different type

Description

Using code from the archived wmtsa package

Usage

simUnivariate(name, n = 1024, snr = Inf)

Arguments

name	character string of name of the test wavelet signal to be generated; one of "dirac", "kronecker", "heavisine", "bumps", "blocks", "doppler", "ramp", "cusp", "crease", "sing", "hisine", "losine", "linchirp", "twochirp", "quadchirp", "mishmash1", "mishmash2", "mishmash3", "levelshift", "jumpsine", "gauss", "patches", "linear", "quadratic", "cubic";
n	length of the series; defaults to 1024 points; increasing n infills the time series
snr	desired signal-to-noise ratio; default Inf corresponds to 0 noise

Value

A numeric vector the same length as n.

Examples

nms <- c("blocks", "linchirp", "mishmash1", "bumps")
z <- lapply(nms, simUnivariate)

dsp documentation built on Aug. 21, 2025, 5:29 p.m.