signal_statistics: Signal Statistics Functions

In boostmath: 'R' Bindings for the 'Boost' Math Functions

Signal Statistics Functions

Description

Functions to compute various signal statistics.

Usage

absolute_gini_coefficient(x)

sample_absolute_gini_coefficient(x)

hoyer_sparsity(x)

oracle_snr(signal, noisy_signal)

oracle_snr_db(signal, noisy_signal)

m2m4_snr_estimator(noisy_signal, signal_kurtosis = 1, noise_kurtosis = 3)

m2m4_snr_estimator_db(noisy_signal, signal_kurtosis = 1, noise_kurtosis = 3)

Arguments

x	A numeric vector.
signal	A numeric vector.
noisy_signal	A numeric vector.
signal_kurtosis	A single numeric value.
noise_kurtosis	A single numeric value.

Value

A numeric value or vector with the computed statistic.

See Also

Boost Documentation for more details on the mathematical background.

Examples

# Absolute Gini Coefficient
absolute_gini_coefficient(c(1, 2, 3, 4, 5))
# Sample Absolute Gini Coefficient
sample_absolute_gini_coefficient(c(1, 2, 3, 4, 5))
# Hoyer Sparsity
hoyer_sparsity(c(1, 0, 0, 2, 3))

signal <- c(1, 2, 3)
noisy_signal <- c(1.1, 2.1, 3.1)
# Oracle SNR
oracle_snr(signal, noisy_signal)
# Oracle SNR in dB
oracle_snr_db(signal, noisy_signal)
# M2M4 SNR Estimator
m2m4_snr_estimator(noisy_signal, 3, 2)
# M2M4 SNR Estimator in dB
m2m4_snr_estimator_db(noisy_signal, 3, 2)

boostmath documentation built on Dec. 15, 2025, 5:07 p.m.