Name: sampling_parameter_scale | Version Id: 1.0.0.0 | ||
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Description: The sampling_parameter_scale element specifies whether the sampling interval is linear or something other such as logarithmic. | |||

Namespace Id: pds | Steward: pds | Class Name: Uniformly_Sampled | Type: ASCII_Short_String_Collapsed |

Minimum Value: None | Maximum Value: None | Minimum Characters: 1 | Maximum Characters: 255 |

Unit of Measure Type: None | Default Unit Id: None | Attribute Concept: Scale | Conceptual Domain: Short_String |

Status: Active | Nillable: false | Pattern: None | |

Permissible Value(s) | Value | Value Meaning | |

Exponential | The values of the independent variable in Exponential Uniformly Sampled data are given at uniform spacing of the exponential of some base b, a positive real number. That is, for independent variable x in the range [x1, xn], the sampling points xj satisfy: b^xj = b^x1 + (j-1)(b^xn - b^x1)/(n-1) for j = 1 ... n where the caret symbol (^) denotes exponentiation. For example, if the independent variable has values 0., 0.30103, 0.47712, 0.60206, ... and the base is 10, then the Exponential Uniformly Spaced data are given at 10^0., 10^0.30103, 10^0.47712, 10^0.60206, ... or 1, 2, 3, 4, ... | ||

Linear | Values of Uniformly_Sampled are given at uniform (linear) spacings of an independent variable - for example, 1, 2, 3, 4, ... | ||

Logarithmic | The values of the independent variable, x, in Logarithmic Uniformly Sampled data are given at uniform spacing of the logarithm of x in some base, b, a positive real number. That is, for independent variable x in the range [x1, xn], the sampling points xj satisfy: log_b(xj) = log_b(x1) + (j-1)(log_b(xn) - log_b(x1))/(n-1) for j = 1 ... n where log_b(x) is the log of x in base b. For example, if the independent variable has values 1, 10, 100, 1000, ... and the base is 10, then the Logarithmic Uniformly Spaced data are given at 0, 1, 2, 3 ... |