fir1: Window-based FIR filter design

In gjmvanboxtel/gsignal: Signal Processing

Window-based FIR filter design

Description

FIR filter coefficients for a filter with the given order and frequency cutoff.

Usage

fir1(
  n,
  w,
  type = c("low", "high", "stop", "pass", "DC-0", "DC-1"),
  window = hamming(n + 1),
  scale = TRUE
)

Arguments

n	filter order (1 less than the length of the filter).
w	band edges, strictly increasing vector in the range c(0, 1), where 1 is the Nyquist frequency. A scalar for highpass or lowpass filters, a vector pair for bandpass or bandstop, or a vector for an alternating pass/stop filter.
type	character specifying filter type, one of "low" for a low-pass filter, "high" for a high-pass filter, "stop" for a stop-band (band-reject) filter, "pass" for a pass-band filter, "DC-0" for a bandpass as the first band of a multiband filter, or "DC-1" for a bandstop as the first band of a multiband filter. Default: "low".
window	smoothing window. The returned filter is the same shape as the smoothing window. Default: hamming(n + 1).
scale	whether to normalize or not. Use TRUE (default) or "scale" to set the magnitude of the center of the first passband to 1, and FALSE or "noscale" to not normalize.

Value

The FIR filter coefficients, a vector of length n + 1, of class Ma.

Author(s)

Paul Kienzle, [e-mail], Conversion to R Tom Short,
adapted by Geert van Boxtel, [e-mail].

References

https://en.wikipedia.org/wiki/Fir_filter

See Also

Ma, filter, fftfilt, fir2

Examples

freqz(fir1(40, 0.3))
freqz(fir1(10, c(0.3, 0.5), "stop"))
freqz(fir1(10, c(0.3, 0.5), "pass"))

gjmvanboxtel/gsignal documentation built on Nov. 22, 2023, 8:19 p.m.