KernelDesign

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11. def firwin(numtaps: Int, cutoff: DenseVector[Double], optWindow: OptWindowFunction = OptWindowFunction.Hamming(), zeroPass: Boolean = true, nyquist: Double = 1d, scale: Boolean = true): FIRKernel1D

    FIR filter design using the window method.

    FIR filter design using the window method.

    This function computes the coefficients of a finite impulse response filter. The filter will have linear phase; it will be Type I if numtaps is odd and Type II if numtaps is even.

    Type II filters always have zero response at the Nyquist rate, so a ValueError exception is raised if firwin is called with numtaps even and having a passband whose right end is at the Nyquist rate.

    cutoff

    Cutoff frequencies of the filter, specified in units of "nyquist." The frequencies should all be positive and monotonically increasing. The frequencies must lie between (0, nyquist). 0 and nyquist should not be included in this array.

    optWindow

    Currently supports a hamming window breeze.signal.OptWindowFunction.Hamming, a specified window breeze.signal.OptWindowFunction.User, or no window breeze.signal.OptWindowFunction.None.

    zeroPass

    If true (default), the gain at frequency 0 (ie the "DC gain") is 1, if false, 0.

    nyquist

    The nyquist frequency, default is 1.

    scale

    Whether to scale the coefficiency so that frequency response is unity at either (A) 0 if zeroPass is true or (B) at nyquist if the first passband ends at nyquist, or (C) the center of the first passband. Default is true.

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