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fir_lsq

Version:
    Last Modified: March 15, 2017

    Designs a least-squares linear FIR filter.

    Syntax

    y = fir_lsq(n, f, a)
    y = fir_lsq(n, f, a, w)
    y = fir_lsq(n, f, a, option)
    y = fir_lsq(n, f, a, w, option)
    Legacy name: firls

    Inputs

    n

    Filter order. n is a nonnegative integer.

    f

    Normalized frequencies at which you want to take samples. The size of f must be even. f is a vector.

    a

    Specifies the amplitudes at each of the f frequencies. a is a vector of the same size as f.

    w

    Weight. w is a vector that is half the length of f.

    option

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

    Name Description
    'differentiator'

    Differentiator filter.

    'Hilbert'

    Hilbert filter.

    Outputs

    y

    Filter coefficients of order n. y is a real vector.

    Special Case

    If f = [0.1, 0.2, 0.3, 0.4] and a = [1, 1, 0, 0], MathScript ignores the interval [0.2, 0.3] and attempts to implement a filter whose amplitude is 1 in [0.1, 0.2] and 0 in [0.3, 0.4].

    N = 11;
    F = [0.1, 0.2, 0.3, 0.4];
    A = [1, 1, 0, 0];
    Y = fir_lsq(N, F, A)

    Where This Node Can Run:

    Desktop OS: Windows

    FPGA: This product does not support FPGA devices


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