Generate Synthetic Noise
noise_gen.RdGenerate Synthetic Noise
Arguments
- n
Integer. Number samples to generate. Default is 500.
- type
Character string specifying the type of noise to generate. Supported types:
"gaussian": Standard normal distribution."uniform": Uniform distribution between -level and +level."lognormal": Log-normal distribution."t_distributed": Heavy-tailed t-distribution with 3 degrees of freedom."cauchy": Extremely heavy-tailed Cauchy distribution."beta_noise": Beta distribution shifted and scaled to[-level, level]."exponential": Positive-only exponential distribution."microstructure": Oscillatory sinusoidal pattern with additive Gaussian noise.
- level
Numeric. Controls the scale (standard deviation, range, or spread) of the noise. Default is
0.01.- seed
Optional integer. Sets a random seed for reproducibility.
Value
A tibble with two columns:
value: Numeric vector of generated noise samples.type: Character string indicating the type of noise.
Examples
# Gaussian noise with small scale
noise_gen(500, type = "gaussian", level = 0.05)
#> # A tibble: 500 × 2
#> value type
#> <dbl> <chr>
#> 1 0.0512 gaussian
#> 2 -0.00849 gaussian
#> 3 -0.0437 gaussian
#> 4 0.0120 gaussian
#> 5 -0.00123 gaussian
#> 6 0.0429 gaussian
#> 7 0.0652 gaussian
#> 8 -0.0194 gaussian
#> 9 -0.00127 gaussian
#> 10 0.0122 gaussian
#> # ℹ 490 more rows
# Heavy-tailed noise
noise_gen(500, type = "t_distributed", level = 0.1)
#> # A tibble: 500 × 2
#> value type
#> <dbl> <chr>
#> 1 0.0125 t_distributed
#> 2 -0.0363 t_distributed
#> 3 -0.206 t_distributed
#> 4 0.277 t_distributed
#> 5 -0.257 t_distributed
#> 6 0.231 t_distributed
#> 7 -0.00622 t_distributed
#> 8 -0.0497 t_distributed
#> 9 -0.00742 t_distributed
#> 10 -0.0302 t_distributed
#> # ℹ 490 more rows