The Blackman-Harris window coefficients are given by the following formula

$$a(k)=0.35875-0.48829 \, cos(\frac{2\pi k}{N-1})$$ $$+0.14128 \, cos(\frac{4\pi k}{N-1})-0.01168 \, cos(\frac{6\pi k}{N-1})$$

where N is the length of the filter and k = 0, 1, …, N – 1.

The Blackman-Harris window is a generalized cosine window (see Hamming window).

## An example Blackman-Harris window

Consider a finite impulse response (FIR) low pass filter of length N = 201. The following is the Blackman-Harris window.

Given a sampling frequency of 2000 Hz and a filter cutoff frequency of 40 Hz, the impulse response of the filter with a rectangular window (with no window) and with the Blackman-Harris window is as follows.

The magnitude response of the same filter is shown on the graph below.

## Measures for the Blackman-Harris window

The following graph compares the discrete Fourier transform of the Blackman-Harris window and the rectangular window.

The Blackman-Harris window measures are as follows.

Coherent gain | 0.36 |

Equivalent noise bandwidth | 2.01 |

Processing gain | -3.03 dB |

Scalloping loss | -0.82 dB |

Worst case processing loss | -3.85 dB |

Highest sidelobe level | -92.0 dB |

Sidelobe falloff | -14.4 dB / octave, -48.0 dB / decade |

Main lobe is -3 dB | 1.90 bins |

Main lobe is -6 dB | 2.66 bins |

Overlap correlation at 50% overlap | 0.037 |

Amplitude flatness at 50% overlap | 0.435 |

Overlap correlation at 75% overlap | 0.459 |

Amplitude flatness at 75% overlap | 1.000 |

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