bw_pass: Low-pass Butterworth filter

In wltcwpf/hvsrProc: An R package for horizontal-to-vertical spectral ratio processing and calculation

Low-pass Butterworth filter

Description

This function applies low-pass Butterworth filter to process time series (for both causal and acausal)

Usage

bw_pass(ts, dt, fc, nPole = 4, is_causal = FALSE, order_zero_padding = 0)

Arguments

ts	An array of time series
dt	The time step
fc	The corner frequency for low-pass/high-pass
nPole	The pole parameter for the order, where the order is 2 * nPole. Positive for low-pass; Negative for high-pass Generally, nPole = 4 for low-pass and nPole = -5 for high-pass
is_causal	A binary to indicator if causal is applied. Apply causal if is_causal = TRUE and apply acausal if is_causal = FALSE
order_zero_padding	The order needs to be added for zeroes padding at the end of recordings to increase the number of data points to a power of 2 (Kishida T., Darragh R.B., Chiou B.S.J., Bozorgnia Y., Mazzoni S., Contreras V., Boroschek R., Rojas F., Stewart J.P., 2020. Chapter 3: Ground Motions and Intensity Measures, in Data Resources for NGA-Subduction Project, PEER Report 2020/02, J.P. Stewart (editor), Pacific Earthquake Engineering Research Center, UC Berkeley (headquarters).). Default is 0 (no zero-padding).

Value

The filtered time series

wltcwpf/hvsrProc documentation built on March 25, 2024, 7 p.m.