实现矩阵的Cholesky分解,用Cholesky分解求ARMA模型的参数并作谱估计,利用分裂基算法求复序列 的DFT.将得到的 解卷绕，得到无跳变的相频特性.计算七类窗函数并给出归一化对数幅频曲线-achieve Matrix Cholesky decomposition, Cholesky decomposition used for ARMA model and the parameters for spectral estimation, the use of split-based a

A new discrete fractional Fourier transform based on constrained eigendecomposition of DFT matrix by Lagrange multiplier method

FFTD(T) performs a "Dimensionless DFT" on the columns of T. T may be real or complex. T may be any size. Returns the dimensionless (unitless) vector D and the universal Basis matrix B such that- FFTD(T) performs a "Dimensionless DFT" on the

FFTD(T) performs a "Dimensionless DFT" on the columns of T. T may be real or complex. T may be any size. Returns the dimensionless (unitless) vector D and the universal Basis matrix B such that- FFTD(T) performs a "Dimensionless DFT" on the

特征分解型求取离散分数阶傅里叶变换 特征分解算法通过求ＤＦＴ的核矩阵Ｆ（ｋ，ｎ）的特征值 和特征向量构造ＤＦＴ核矩阵的分数幂，以此作为Ｆａ（ｋ，ｎ） 来计算ＤＦｒＦＴ。(The kernel matrix eigenvalue decomposition algorithm for DFT F (k, n) characteristic value And the feature vectors are constructed as the fractional powers of the DF