DctNormalization.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 cosine transforms (DCT). The exact definition of these
 * normalizations is detailed below.
 *
 * @see FastCosineTransformer
 */
public enum DctNormalization {
    /**
     * Should be passed to the constructor of {@link FastCosineTransformer}
     * to use the <em>standard</em> normalization convention.  The standard
     * DCT-I normalization convention is defined as follows
     * <ul>
     * <li>forward transform:
     * y<sub>n</sub> = (1/2) [x<sub>0</sub> + (-1)<sup>n</sup>x<sub>N-1</sub>]
     * + &sum;<sub>k=1</sub><sup>N-2</sup>
     * x<sub>k</sub> cos[&pi; nk / (N - 1)],</li>
     * <li>inverse transform:
     * x<sub>k</sub> = [1 / (N - 1)] [y<sub>0</sub>
     * + (-1)<sup>k</sup>y<sub>N-1</sub>]
     * + [2 / (N - 1)] &sum;<sub>n=1</sub><sup>N-2</sup>
     * y<sub>n</sub> cos[&pi; nk / (N - 1)],</li>
     * </ul>
     * where N is the size of the data sample.
     */
    STANDARD_DCT_I,

    /**
     * Should be passed to the constructor of {@link FastCosineTransformer}
     * 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 - 1)]<sup>-1/2</sup> [x<sub>0</sub>
     * + (-1)<sup>n</sup>x<sub>N-1</sub>]
     * + [2 / (N - 1)]<sup>1/2</sup> &sum;<sub>k=1</sub><sup>N-2</sup>
     * x<sub>k</sub> cos[&pi; nk / (N - 1)],</li>
     * <li>inverse transform:
     * x<sub>k</sub> = [2(N - 1)]<sup>-1/2</sup> [y<sub>0</sub>
     * + (-1)<sup>k</sup>y<sub>N-1</sub>]
     * + [2 / (N - 1)]<sup>1/2</sup> &sum;<sub>n=1</sub><sup>N-2</sup>
     * y<sub>n</sub> cos[&pi; nk / (N - 1)],</li>
     * </ul>
     * which makes the transform orthogonal. N is the size of the data sample.
     */
    ORTHOGONAL_DCT_I;
}