Normalizes the input vector or matrix using its statistical profile (µ,s), where µ is the mean and s is the standard deviation, to obtain a Normalized Vector or Normalized Matrix whose statistical profile is (0,1).


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Inputs/Outputs

  • c1ddbl.png Vector —

    Vector is the input vector. If Vector is an empty array, Normalized Vector is also an empty array, and mean and standard deviation are NaN.

  • i1ddbl.png Normalized Vector —

    Normalized Vector is the output normalized vector.

  • idbl.png standard deviation —

    standard deviation is the standard deviation of Vector.

  • idbl.png mean —

    mean is the mean of Vector.

  • ii32.png error —

    error returns any error or warning from the VI. You can wire error to the Error Cluster From Error Code VI to convert the error code or warning into an error cluster.

    • This VI calculates Normalized Vector using the following equation:

    where Y represents the output sequence Normalized Vector, X represents the input sequence Vector of length n, and xi is the ith element of X.