org.apache.commons.math3.transform

Interface RealTransformer

All Known Implementing Classes:

FastCosineTransformer, FastHadamardTransformer, FastSineTransformer

public interface RealTransformer

Interface for one-dimensional data sets transformations producing real results.

Such transforms include sine transform, cosine transform or Hadamard transform. Fourier transform is of a different kind and does not implement this interface since it produces Complex results instead of real ones.

Since:

2.0

Version:

$Id: RealTransformer.java 1244107 2012-02-14 16:17:55Z erans $

Method Summary

Methods

Modifier and Type	Method and Description
double[]	transform(double[] f, TransformType type) Returns the (forward, inverse) transform of the specified real data set.
double[]	transform(UnivariateFunction f, double min, double max, int n, TransformType type) Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.

Method Detail

transform

double[] transform(double[] f,
                 TransformType type)

Returns the (forward, inverse) transform of the specified real data set.

Parameters:

f - the real data array to be transformed (signal)

type - the type of transform (forward, inverse) to be performed

Returns:

the real transformed array (spectrum)

transform

double[] transform(UnivariateFunction f,
                 double min,
                 double max,
                 int n,
                 TransformType type)

Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.

Parameters:

f - the function to be sampled and transformed

min - the (inclusive) lower bound for the interval

max - the (exclusive) upper bound for the interval

n - the number of sample points

type - the type of transform (forward, inverse) to be performed

Returns:

the real transformed array

Throws:

NonMonotonicSequenceException - if the lower bound is greater than, or equal to the upper bound

NotStrictlyPositiveException - if the number of sample points is negative