DstNormalization.java

  1. /*
  2.  * Licensed to the Apache Software Foundation (ASF) under one or more
  3.  * contributor license agreements.  See the NOTICE file distributed with
  4.  * this work for additional information regarding copyright ownership.
  5.  * The ASF licenses this file to You under the Apache License, Version 2.0
  6.  * (the "License"); you may not use this file except in compliance with
  7.  * the License.  You may obtain a copy of the License at
  8.  *
  9.  *      http://www.apache.org/licenses/LICENSE-2.0
  10.  *
  11.  * Unless required by applicable law or agreed to in writing, software
  12.  * distributed under the License is distributed on an "AS IS" BASIS,
  13.  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  14.  * See the License for the specific language governing permissions and
  15.  * limitations under the License.
  16.  */
  17. package org.apache.commons.math3.transform;

  18. /**
  19.  * This enumeration defines the various types of normalizations that can be
  20.  * applied to discrete sine transforms (DST). The exact definition of these
  21.  * normalizations is detailed below.
  22.  *
  23.  * @see FastSineTransformer
  24.  * @since 3.0
  25.  */
  26. public enum DstNormalization {
  27.     /**
  28.      * Should be passed to the constructor of {@link FastSineTransformer} to
  29.      * use the <em>standard</em> normalization convention. The standard DST-I
  30.      * normalization convention is defined as follows
  31.      * <ul>
  32.      * <li>forward transform: y<sub>n</sub> = &sum;<sub>k=0</sub><sup>N-1</sup>
  33.      * x<sub>k</sub> sin(&pi; nk / N),</li>
  34.      * <li>inverse transform: x<sub>k</sub> = (2 / N)
  35.      * &sum;<sub>n=0</sub><sup>N-1</sup> y<sub>n</sub> sin(&pi; nk / N),</li>
  36.      * </ul>
  37.      * where N is the size of the data sample, and x<sub>0</sub> = 0.
  38.      */
  39.     STANDARD_DST_I,

  40.     /**
  41.      * Should be passed to the constructor of {@link FastSineTransformer} to
  42.      * use the <em>orthogonal</em> normalization convention. The orthogonal
  43.      * DCT-I normalization convention is defined as follows
  44.      * <ul>
  45.      * <li>Forward transform: y<sub>n</sub> = &radic;(2 / N)
  46.      * &sum;<sub>k=0</sub><sup>N-1</sup> x<sub>k</sub> sin(&pi; nk / N),</li>
  47.      * <li>Inverse transform: x<sub>k</sub> = &radic;(2 / N)
  48.      * &sum;<sub>n=0</sub><sup>N-1</sup> y<sub>n</sub> sin(&pi; nk / N),</li>
  49.      * </ul>
  50.      * which makes the transform orthogonal. N is the size of the data sample,
  51.      * and x<sub>0</sub> = 0.
  52.      */
  53.     ORTHOGONAL_DST_I
  54. }