DstNormalization.java
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* https://www.apache.org/licenses/LICENSE-2.0
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/*
* This is not the original file distributed by the Apache Software Foundation
* It has been modified by the Hipparchus project
*/
package org.hipparchus.transform;
/**
* This enumeration defines the various types of normalizations that can be
* applied to discrete sine transforms (DST). The exact definition of these
* normalizations is detailed below.
*
* @see FastSineTransformer
*/
public enum DstNormalization {
/**
* Should be passed to the constructor of {@link FastSineTransformer} to
* use the <em>standard</em> normalization convention. The standard DST-I
* normalization convention is defined as follows
* <ul>
* <li>forward transform: y<sub>n</sub> = ∑<sub>k=0</sub><sup>N-1</sup>
* x<sub>k</sub> sin(π nk / N),</li>
* <li>inverse transform: x<sub>k</sub> = (2 / N)
* ∑<sub>n=0</sub><sup>N-1</sup> y<sub>n</sub> sin(π nk / N),</li>
* </ul>
* where N is the size of the data sample, and x<sub>0</sub> = 0.
*/
STANDARD_DST_I,
/**
* Should be passed to the constructor of {@link FastSineTransformer} to
* use the <em>orthogonal</em> normalization convention. The orthogonal
* DCT-I normalization convention is defined as follows
* <ul>
* <li>Forward transform: y<sub>n</sub> = √(2 / N)
* ∑<sub>k=0</sub><sup>N-1</sup> x<sub>k</sub> sin(π nk / N),</li>
* <li>Inverse transform: x<sub>k</sub> = √(2 / N)
* ∑<sub>n=0</sub><sup>N-1</sup> y<sub>n</sub> sin(π nk / N),</li>
* </ul>
* which makes the transform orthogonal. N is the size of the data sample,
* and x<sub>0</sub> = 0.
*/
ORTHOGONAL_DST_I
}