/// <summary>
        /// Forward Weyl-Heisenberg transform.
        /// </summary>
        /// <param name="A">Array</param>
        /// <returns>Array</returns>
        public Complex32[] Forward(Complex32[] A)
        {
            float[]      g0           = WeylHeisenbergTransform.GetPacket(this.window, A.Length);
            ZakTransform zakTransform = new ZakTransform(m);

            return(FastWeylHeisenbergTransform.WHT(A, zakTransform.Forward(g0), m));
        }
Exemple #2
0
        /// <summary>
        /// Returns the complex Weyl-Heisenberg basis matrix.
        /// <remarks>
        /// Matrix dimension[N, N], where N = M * L.
        /// </remarks>
        /// </summary>
        /// <param name="g0">Function</param>
        /// <param name="M">Number of frequency shifts</param>
        /// <param name="orthogonalize">Orthogonalized matrix or not</param>
        /// <returns>Matrix</returns>
        public static Complex32[,] Matrix(float[] g0, int M, bool orthogonalize = true)
        {
            if (orthogonalize)
            {
                ZakTransform zakTransform = new ZakTransform(M);

                return(WeylHeisenbergTransform.Matrix(zakTransform.Forward(g0), M));
            }

            return(WeylHeisenbergTransform.Matrix(g0, M));
        }
        /// <summary>
        /// Backward Weyl-Heisenberg transform.
        /// </summary>
        /// <param name="B">Matrix</param>
        /// <returns>Matrix</returns>
        public Complex32[,] Backward(Complex32[,] B)
        {
            Complex32[,] A = (Complex32[, ])B.Clone();
            int N = B.GetLength(0);
            int M = B.GetLength(1);

            ZakTransform zakTransform = new ZakTransform(m);

            float[] g0 = zakTransform.Forward(WeylHeisenbergTransform.GetPacket(this.window, N));
            float[] g1 = zakTransform.Forward(WeylHeisenbergTransform.GetPacket(this.window, M));

            if (direction == Direction.Both)
            {
                Parallel.For(0, M, j =>
                {
                    Complex32[] col = new Complex32[N];
                    int i;

                    for (i = 0; i < N; i++)
                    {
                        col[i] = A[i, j];
                    }

                    col = IWHT(col, g0, m);

                    for (i = 0; i < N; i++)
                    {
                        A[i, j] = col[i];
                    }
                });

                Parallel.For(0, N, i =>
                {
                    Complex32[] row = new Complex32[M];
                    int j;

                    for (j = 0; j < M; j++)
                    {
                        row[j] = A[i, j];
                    }

                    row = IWHT(row, g1, m);

                    for (j = 0; j < M; j++)
                    {
                        A[i, j] = row[j];
                    }
                });
            }
            else if (direction == Direction.Vertical)
            {
                Parallel.For(0, M, j =>
                {
                    Complex32[] col = new Complex32[N];
                    int i;

                    for (i = 0; i < N; i++)
                    {
                        col[i] = A[i, j];
                    }

                    col = IWHT(col, g0, m);

                    for (i = 0; i < N; i++)
                    {
                        A[i, j] = col[i];
                    }
                });
            }
            else
            {
                Parallel.For(0, N, i =>
                {
                    Complex32[] row = new Complex32[M];
                    int j;

                    for (j = 0; j < M; j++)
                    {
                        row[j] = A[i, j];
                    }

                    row = IWHT(row, g1, m);

                    for (j = 0; j < M; j++)
                    {
                        A[i, j] = row[j];
                    }
                });
            }

            return(A);
        }