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+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.commons.math3.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
+ * @since 3.0
+ */
+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>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)],
+ * </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>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)],
+ * </ul>
+ *
+ * which makes the transform orthogonal. N is the size of the data sample.
+ */
+ ORTHOGONAL_DCT_I;
+}