Exemple #1
0
        /// <summary>
        ///   1-D Fast Fourier Transform.
        /// </summary>
        ///
        /// <param name="real">The real part of the complex numbers to transform.</param>
        /// <param name="imag">The imaginary part of the complex numbers to transform.</param>
        /// <param name="direction">The transformation direction.</param>
        ///
        /// <example>
        /// <code source="Unit Tests\Accord.Tests.Math\FourierTransformTest.cs" region="doc_fft" />
        /// </example>
        ///
        public static void FFT(double[] real, double[] imag, FourierTransform.Direction direction)
        {
            if (direction == FourierTransform.Direction.Forward)
            {
                FFT(real, imag);
            }
            else
            {
                FFT(imag, real);
            }

            if (direction == FourierTransform.Direction.Backward)
            {
                for (int i = 0; i < real.Length; i++)
                {
                    real[i] /= real.Length;
                    imag[i] /= real.Length;
                }
            }
        }
Exemple #2
0
        /// <summary>
        ///   1-D Fast Fourier Transform.
        /// </summary>
        ///
        /// <param name="data">The data to transform..</param>
        /// <param name="direction">The transformation direction.</param>
        ///
        public static void FFT(Complex[] data, FourierTransform.Direction direction)
        {
            int n = data.Length;

            if (n == 0)
            {
                return;
            }

            if (direction == FourierTransform.Direction.Backward)
            {
                for (int i = 0; i < data.Length; i++)
                {
                    data[i] = new Complex(data[i].Imaginary, data[i].Real);
                }
            }

            if ((n & (n - 1)) == 0)
            {
                // Is power of 2
                TransformRadix2(data);
            }
            else
            {
                // More complicated algorithm for arbitrary sizes
                TransformBluestein(data);
            }

            if (direction == FourierTransform.Direction.Backward)
            {
                for (int i = 0; i < data.Length; i++)
                {
                    double im = data[i].Imaginary;
                    double re = data[i].Real;
                    data[i] = new Complex(im / n, re / n);
                }
            }
        }
Exemple #3
0
        public static object FHT(double[] Data, object BackwardFlagOpt)
        {
            bool backwards = Utils.GetOptionalParameter(BackwardFlagOpt, false);

            FourierTransform.Direction direction = (backwards ? FourierTransform.Direction.Backward : FourierTransform.Direction.Forward);

            try
            {
                HilbertTransform.FHT(Data, direction);
            }
            catch (Exception e)
            {
                Debug.WriteLine(e.ToString());
            }

            double[,] ret = new double[Data.Length, 1];
            for (int i = 0; i < Data.Length; ++i)
            {
                ret[i, 0] = Data[i];
            }

            return(ret);
        }
        internal unsafe static Image <Complex, TDepth> FFT <TDepth>(this Image <Complex, TDepth> image, FourierTransform.Direction direction, bool inPlace = false)
            where TDepth : struct
        {
            Image <Complex, TDepth> dest = null;

            if (inPlace)
            {
                dest = image;
            }
            else
            {
                dest = image.Clone();
            }

            if (typeof(TDepth).Equals(typeof(float)))
            {
                FourierTransform.FFT2((ComplexF *)dest.ImageData, dest.Width, dest.Height, dest.Stride, direction);
            }
            else if (typeof(TDepth).Equals(typeof(double)))
            {
                throw new NotImplementedException(); //TODO: implement for double
                //FourierTransform.FFT2((Complex*)dest.ImageData, dest.Width, dest.Height, dest.Stride, direction);
            }
            else
            {
                throw new NotSupportedException();
            }

            return(dest);
        }
 /// <summary>
 /// Calculates Fast Fourier transform.
 /// </summary>
 /// <param name="image">Input image.</param>
 /// <param name="direction">Forward or backward direction.</param>
 /// <param name="inPlace">Process in place or not.</param>
 /// <returns>Processed image. If <paramref name="inPlace"/> is used the result is the same as input image therefore may be omitted.</returns>
 private unsafe static Image <Complex, double> FFT(this Image <Complex, double> image, FourierTransform.Direction direction, bool inPlace = false)
 {
     return(FFT <double>(image, direction, inPlace));
 }
 /// <summary>
 /// Calculates Fast Fourier transform.
 /// </summary>
 /// <param name="image">Input image.</param>
 /// <param name="direction">Forward or backward direction.</param>
 /// <param name="inPlace">Process in place or not.</param>
 /// <returns>Processed image. If <paramref name="inPlace"/> is used the result is the same as input image therefore may be omitted.</returns>
 public unsafe static Image <Complex, float> FFT(this Image <Complex, float> image, FourierTransform.Direction direction, bool inPlace = false)
 {
     return(FFT <float>(image, direction, inPlace));
 }
        /// <summary>
        ///   2-D Discrete Fourier Transform.
        /// </summary>
        ///
        /// <param name="data">The data to transform.</param>
        /// <param name="direction">The transformation direction.</param>
        ///
        /// <example>
        /// <code source="Unit Tests\Accord.Tests.Math\FourierTransformTest.cs" region="doc_dft2" />
        /// </example>
        ///
        public static void DFT2(Complex[][] data, FourierTransform.Direction direction)
        {
            int m = data.Columns();

            if (direction == FourierTransform.Direction.Forward)
            {
                // process rows
                for (int i = 0; i < data.Length; i++)
                {
                    // transform it
                    DFT(data[i], FourierTransform.Direction.Forward);
                }

                // process columns
                var col = new Complex[data.Length];
                for (int j = 0; j < m; j++)
                {
                    // copy column
                    for (int i = 0; i < col.Length; i++)
                    {
                        col[i] = data[i][j];
                    }

                    // transform it
                    DFT(col, FourierTransform.Direction.Forward);

                    // copy back
                    for (int i = 0; i < col.Length; i++)
                    {
                        data[i][j] = col[i];
                    }
                }
            }
            else
            {
                // process columns
                var col = new Complex[data.Length];
                for (int j = 0; j < m; j++)
                {
                    // copy column
                    for (int i = 0; i < col.Length; i++)
                    {
                        col[i] = data[i][j];
                    }

                    // transform it
                    DFT(col, FourierTransform.Direction.Backward);

                    // copy back
                    for (int i = 0; i < col.Length; i++)
                    {
                        data[i][j] = col[i];
                    }
                }

                // process rows
                for (int i = 0; i < data.Length; i++)
                {
                    // transform it
                    DFT(data[i], FourierTransform.Direction.Backward);
                }
            }
        }