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Filter (Bandpass » Windowed FIR) (G Dataflow)

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    Last Modified: January 9, 2017

    Filters a signal using a bandpass windowed FIR filter. Bandpass filters pass a certain band of frequencies.

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    window parameter

    A value that affects the output coefficients when window type is Kaiser, Gaussian, or Dolph-Chebyshev.

    If window type is any other type of window, this node ignores this input.

    This input represents the following information for each type of window:

    • Kaiser—Beta parameter
    • Gaussian—Standard deviation
    • Dolph-Chebyshev—The ratio, s, of the main lobe to the side lobe

    Default: NaN—Causes this node to set beta to 0 for a Kaiser window, the standard deviation to 0.2 for a Gaussian window, and s to 60 for a Dolph-Chebyshev window

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    window type

    Type of the smoothing window.

    Smoothing windows decrease ripple in the filter passband and improve the ability of the filter to attenuate frequency components in the filter stopband.

    Name Value Description
    Rectangle 0 Applies a rectangle window.
    Hanning 1 Applies a Hanning window.
    Hamming 2 Applies a Hamming window.
    Blackman-Harris 3 Applies a Blackman-Harris window.
    Exact Blackman 4 Applies an Exact Blackman window.
    Blackman 5 Applies a Blackman window.
    Flat Top 6 Applies a Flat Top window.
    4 Term B-Harris 7 Applies a 4 Term B-Harris window.
    7 Term B-Harris 8 Applies a 7 Term B-Harris window.
    Low Sidelobe 9 Applies a Low Sidelobe window.
    Blackman Nutall 11 Applies a Blackman Nutall window.
    Cosine Tapered 12 Applies a Cosine Tapered window.
    Triangle 30 Applies a Triangle window.
    Bartlett-Hanning 31 Applies a Bartlett-Hanning window.
    Bohman 32 Applies a Bohman window.
    Parzen 33 Applies a Parzen window.
    Welch 34 Applies a Welch window.
    Kaiser 60 Applies a Kaiser window.
    Dolph-Chebyshev 61 Applies a Dolph-Chebyshev window.
    Gaussian 62 Applies a Gaussian window.
    Force 64 Applies a Force window.
    Exponential 65 Applies a Exponential window.

    Default: Rectangle

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    reset

    A Boolean that specifies the initialization of the internal state of the node.

    True Initializes the internal state to zero.
    False Initializes the internal state to the final state from the previous call of this node.

    This node automatically initializes the internal state to zero on the first call and runs continuously until this input is True.

    Default: False

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    signal

    The input signal.

    This input supports the following data types:

    • Waveform
    • 1D array of waveforms
    • 1D array of double-precision, floating-point numbers
    • 1D array of complex double-precision, floating-point numbers
    • 2D array of double-precision, floating-point numbers
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    low cutoff frequency

    Low cutoff frequency of the filter. low cutoff frequency must be less than high cutoff frequency.

    Default: 0.125

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    high cutoff frequency

    High cutoff frequency of the filter. high cutoff frequency must be greater than low cutoff frequency and less than 0.5*fs, where fs is the sampling frequency.

    Default: 0.45

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    number of taps

    Number of taps in the FIR filter.

    Default: 25

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    order

    Order of the filter.

    Default: 2

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    error in

    Error conditions that occur before this node runs. The node responds to this input according to standard error behavior.

    Default: No error

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    sampling frequency

    The sampling frequency in Hz.

    sampling frequency is available only if you wire a 1D or 2D array of double-precision, floating-point numbers to signal. The value must be greater than zero.

    Default: 1, which is the normalized sampling frequency

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    filtered signal

    Result of filtering the input signal.

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    error out

    Error information. The node produces this output according to standard error behavior.

    Where This Node Can Run:

    Desktop OS: Windows

    FPGA: Not supported


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