fir2 | R Documentation |

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

```
fir2(n, f, m, grid_n = 512, ramp_n = grid_n/20, window = hamming(n + 1))
```

`n` |
order of the filter (1 less than the length of the filter) |

`f` |
band edges, strictly increasing vector in the range [0, 1] where 1 is the Nyquist frequency. The first element must be 0 and the last element must be 1. If elements are identical, it indicates a jump in frequency response. |

`m` |
magnitude at band edges, a vector of |

`grid_n` |
length of ideal frequency response function
defaults to 512, should be a power of 2 bigger than |

`ramp_n` |
transition width for jumps in filter response
defaults to |

`window` |
smoothing window. The returned filter is the same shape as the smoothing window. |

The FIR filter coefficients, an array of `length(n+1)`

, of class `Ma`

.

Original Octave version by Paul Kienzle, pkienzle@user.sf.net. Conversion to R by Tom Short.

Octave Forge https://octave.sourceforge.io/

`filter`

, `Ma`

,
`fftfilt`

, `fir1`

```
f <- c(0, 0.3, 0.3, 0.6, 0.6, 1)
m <- c(0, 0, 1, 1/2, 0, 0)
fh <- freqz(fir2(100, f, m))
op <- par(mfrow = c(1, 2))
plot(f, m, type = "b", ylab = "magnitude", xlab = "Frequency")
lines(fh$f / pi, abs(fh$h), col = "blue")
# plot in dB:
plot(f, 20*log10(m+1e-5), type = "b", ylab = "dB", xlab = "Frequency")
lines(fh$f / pi, 20*log10(abs(fh$h)), col = "blue")
par(op)
```

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