spinebil (version 1.0.5)

noise_gen: Generate Synthetic Noise

Description

Generate Synthetic Noise

Usage

noise_gen(n = 500, type = "gaussian", level = 0.01, seed = NULL)

Value

A tibble with two columns:

• value: Numeric vector of generated noise samples.

• type: Character string indicating the type of 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.

Examples

# Gaussian noise with small scale
noise_gen(500, type = "gaussian", level = 0.05)

# Heavy-tailed noise
noise_gen(500, type = "t_distributed", level = 0.1)