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package org.apache.commons.math3.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 Also:
FastSineTransformer
Since:
3.0/**
 * 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
 * @since 3.0
 */
public enum DstNormalization {
    
Should be passed to the constructor of FastSineTransformer to use the standard normalization convention. The standard DST-I
normalization convention is defined as follows

forward transform: yn = ∑k=0N-1
xk sin(π nk / N),
inverse transform: xk = (2 / N)
∑n=0N-1 yn sin(π nk / N),

where N is the size of the data sample, and x0 = 0.
/**
     * 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> = &sum;<sub>k=0</sub><sup>N-1</sup>
     * x<sub>k</sub> sin(&pi; nk / N),</li>
     * <li>inverse transform: x<sub>k</sub> = (2 / N)
     * &sum;<sub>n=0</sub><sup>N-1</sup> y<sub>n</sub> sin(&pi; 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 FastSineTransformer to use the orthogonal normalization convention. The orthogonal
DCT-I normalization convention is defined as follows

Forward transform: yn = √(2 / N)
∑k=0N-1 xk sin(π nk / N),
Inverse transform: xk = √(2 / N)
∑n=0N-1 yn sin(π nk / N),

which makes the transform orthogonal. N is the size of the data sample,
and x0 = 0.
/**
     * 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> = &radic;(2 / N)
     * &sum;<sub>k=0</sub><sup>N-1</sup> x<sub>k</sub> sin(&pi; nk / N),</li>
     * <li>Inverse transform: x<sub>k</sub> = &radic;(2 / N)
     * &sum;<sub>n=0</sub><sup>N-1</sup> y<sub>n</sub> sin(&pi; 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
}