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fir_pm

Version:
    Last Modified: March 15, 2017

    Designs a linear phase, equiripple, FIR filter using the Parks-McClellan algorithm. This function is equivalent to the fir_remez function.

    Syntax

    b = fir_pm(n, f, a)
    b = fir_pm(n, f, a, filter)
    b = fir_pm(n, f, a, w)
    b = fir_pm(n, f, a, w, filter)
    [b, ripple] = fir_pm(n, f, a)
    [b, ripple] = fir_pm(n, f, a, filter)
    [b, ripple] = fir_pm(n, f, a, w)
    [b, ripple] = fir_pm(n, f, a, w, filter)
    Legacy name: firpm

    Inputs

    n

    Filter order. n is a positive integer. n must be even for filters with a non-zero gain at the Nyquist frequency. If n does not meet this condition, MathScript increases n by 1.

    f

    Frequencies. f is a real vector of increasing values in the interval [0, 1]. 0 and 1 must be in f. 1 represents the Nyquist frequency.

    a

    Magnitudes at the f frequencies. a is a real vector of the same size as f.

    filter

    Odd-symmetry filter to design. filter is a string that accepts the following values:

    Name Description
    'differentiator'

    Differentiator filter.

    'Hilbert'

    Hilbert filter.

    w

    Weights that correspond to f and a. Each band has exactly one weight. The size of w is half the size of f. w is a vector of positive numbers.

    Outputs

    b

    Filter coefficients of order n. The size of b is n + 1. b is a real vector.

    ripple

    Maximum ripple size of the filter. ripple is a positive number.

    N = 13;
    F = [0, 0.1, 0.5, 0.7, 0.8, 1];
    A = [0, 1, 1, 1, 0, 0];
    W = [1, 10, 1];
    B = fir_pm(N, F, A, W)

    Where This Node Can Run:

    Desktop OS: Windows

    FPGA: This product does not support FPGA devices


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