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/*
*
* * Copyright 2015 Skymind,Inc.
* *
* * Licensed 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.nd4j.linalg.fft;
import org.nd4j.linalg.api.complex.IComplexNDArray;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
/**
* FFT and IFFT
*
* @author Adam Gibson
*/
public class FFT {
/**
* FFT along a particular dimension
*
* @param transform the ndarray to op
* @param numElements the desired number of elements in each fft
* @return the ffted output
*/
public static IComplexNDArray fft(INDArray transform, int numElements) {
return Nd4j.getFFt().fft(transform, numElements);
}
/**
* 1d discrete fourier op, note that this will
* throw an exception if the passed in input
* isn't a vector.
* See matlab's fft2 for more information
*
* @param inputC the input to op
* @return the the discrete fourier op of the passed in input
*/
public static IComplexNDArray fft(IComplexNDArray inputC) {
return Nd4j.getFFt().fft(inputC);
}
/**
* 1d discrete fourier op, note that this will
* throw an exception if the passed in input
* isn't a vector.
* See matlab's fft2 for more information
*
* @param input the input to op
* @return the the discrete fourier op of the passed in input
*/
public static IComplexNDArray fft(INDArray input) {
return Nd4j.getFFt().fft(input);
}
/**
* FFT along a particular dimension
*
* @param transform the ndarray to op
* @param numElements the desired number of elements in each fft
* @return the ffted output
*/
public static IComplexNDArray fft(INDArray transform, int numElements, int dimension) {
return Nd4j.getFFt().fft(transform, numElements, dimension);
}
/**
* 1d discrete fourier op, note that this will
* throw an exception if the passed in input
* isn't a vector.
* See matlab's fft2 for more information
*
* @param inputC the input to op
* @return the the discrete fourier op of the passed in input
*/
public static IComplexNDArray fft(IComplexNDArray inputC, int numElements) {
return Nd4j.getFFt().fft(inputC, numElements, inputC.shape().length - 1);
}
/**
* 1d discrete fourier op, note that this will
* throw an exception if the passed in input
* isn't a vector.
* See matlab's fft2 for more information
*
* @param inputC the input to op
* @return the the discrete fourier op of the passed in input
*/
public static IComplexNDArray fft(IComplexNDArray inputC, int numElements, int dimension) {
return Nd4j.getFFt().fft(inputC, numElements, dimension);
}
/**
* IFFT along a particular dimension
*
* @param transform the ndarray to op
* @param numElements the desired number of elements in each fft
* @param dimension the dimension to do fft along
* @return the iffted output
*/
public static IComplexNDArray ifft(INDArray transform, int numElements, int dimension) {
return Nd4j.getFFt().ifft(transform, numElements, dimension);
}
/**
* 1d discrete fourier op, note that this will
* throw an exception if the passed in input
* isn't a vector.
* See matlab's fft2 for more information
*
* @param inputC the input to op
* @return the the discrete fourier op of the passed in input
*/
public static IComplexNDArray ifft(IComplexNDArray inputC) {
return Nd4j.getFFt().ifft(inputC);
}
/**
* FFT along a particular dimension
*
* @param transform the ndarray to op
* @param numElements the desired number of elements in each fft
* @return the ffted output
*/
public static IComplexNDArray ifft(INDArray transform, int numElements) {
return Nd4j.getFFt().ifft(transform, numElements);
}
/**
* 1d discrete fourier op, note that this will
* throw an exception if the passed in input
* isn't a vector.
* See matlab's fft2 for more information
*
* @param inputC the input to op
* @return the the discrete fourier op of the passed in input
*/
public static IComplexNDArray ifft(IComplexNDArray inputC, int numElements, int dimension) {
return Nd4j.getFFt().ifft(inputC, numElements, dimension);
}
/**
* ND IFFT, computes along the first on singleton dimension of
* op
*
* @param transform the ndarray to op
* @param dimension the dimension to iterate along
* @param numElements the desired number of elements in each fft
* @return the reverse ifft of the passed in array
*/
public static IComplexNDArray ifftn(INDArray transform, int dimension, int numElements) {
return Nd4j.getFFt().ifftn(Nd4j.createComplex(transform), dimension, numElements);
}
public static IComplexNDArray irfftn(IComplexNDArray arr) {
return Nd4j.getFFt().irfftn(arr);
}
/**
*
* @param arr
* @param dimension
* @return
*/
public static IComplexNDArray irfft(IComplexNDArray arr, int dimension) {
return Nd4j.getFFt().irfft(arr, dimension);
}
/**
*
* @param arr
* @return
*/
public static IComplexNDArray irfft(IComplexNDArray arr) {
return Nd4j.getFFt().irfft(arr);
}
/**
* ND IFFT
*
* @param transform the ndarray to op
* @param dimension the dimension to iterate along
* @param numElements the desired number of elements in each fft
* @return the transformed array
*/
public static IComplexNDArray ifftn(IComplexNDArray transform, int dimension, int numElements) {
return Nd4j.getFFt().ifftn(transform, dimension, numElements);
}
/**
* Performs FFT along the first non singleton dimension of
* op. This means
*
* @param transform the ndarray to op
* @param dimension the dimension to iterate along
* @param numElements the desired number of elements in each fft
* along each dimension from each slice (note: each slice)
* @return the transformed array
*/
public static IComplexNDArray fftn(IComplexNDArray transform, int dimension, int numElements) {
return Nd4j.getFFt().fftn(transform, dimension, numElements);
}
/**
* Computes the fft along the first non singleton dimension of op
* when it is a matrix
*
* @param transform the ndarray to op
* @param dimension the dimension to do fft along
* @param numElements the desired number of elements in each fft
* @return the fft of the specified ndarray
*/
public static IComplexNDArray fftn(INDArray transform, int dimension, int numElements) {
return Nd4j.getFFt().fftn(Nd4j.createComplex(transform), dimension, numElements);
}
/**
* FFT on the whole array (n is equal the first dimension shape)
*
* @param transform the matrix to op
* @return the ffted array
*/
public static IComplexNDArray fftn(INDArray transform) {
return Nd4j.getFFt().rawfftn(Nd4j.createComplex(transform),null,null);
}
/**
* FFT on the whole array (n is equal the first dimension shape)
*
* @param transform the matrix to op
* @return the ffted array
*/
public static IComplexNDArray fftn(IComplexNDArray transform) {
return Nd4j.getFFt().rawfftn(Nd4j.createComplex(transform), null, null);
}
public static IComplexNDArray ifftn(IComplexNDArray transform) {
return Nd4j.getFFt().rawifftn(transform, null, null);
}
//underlying ifftn
public static IComplexNDArray rawifftn(IComplexNDArray transform, int[] shape, int[] axes) {
return Nd4j.getFFt().rawifftn(transform, shape, axes);
}
//underlying fftn
public static IComplexNDArray rawfftn(IComplexNDArray transform, int[] shape, int[] axes) {
return Nd4j.getFFt().rawfftn(transform, shape, axes);
}
/**
* Underlying fft algorithm
*
* @param transform the ndarray to op
* @param n the desired number of elements
* @param dimension the dimension to do fft along
* @return the transformed ndarray
*/
public static IComplexNDArray rawfft(IComplexNDArray transform, int n, int dimension) {
return Nd4j.getFFt().rawfft(transform, n, dimension);
}
//underlying fftn
public static IComplexNDArray rawifft(IComplexNDArray transform, int n, int dimension) {
return Nd4j.getFFt().rawifft(transform, n, dimension);
}
//underlying fftn
public static IComplexNDArray rawifft(IComplexNDArray transform, int dimension) {
return Nd4j.getFFt().rawifft(transform, transform.shape()[dimension], dimension);
}
}
