DFT-commuting matrix with arbitrary or infinite order second derivative approximation
IEEE Transactions on Signal Processing
Discrete Fractional Fourier Transform Based on New Nearly Tridiagonal Commuting Matrices
IEEE Transactions on Signal Processing
Eigenvalues and eigenvectors of generalized DFT, generalized DHT,DCT-IV and DST-IV matrices
IEEE Transactions on Signal Processing
Generalized eigenvectors and fractionalization of offset DFTs and DCTs
IEEE Transactions on Signal Processing
The discrete fractional Fourier transform
IEEE Transactions on Signal Processing
A method for the discrete fractional Fourier transform computation
IEEE Transactions on Signal Processing
Direct Batch Evaluation of Optimal Orthonormal Eigenvectors of the DFT Matrix
IEEE Transactions on Signal Processing
The discrete fractional cosine and sine transforms
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Relations between fractional operations and time-frequencydistributions, and their applications
IEEE Transactions on Signal Processing
Hi-index | 35.68 |
Yeh and Pei presented a computation method for the discrete fractional Fourier transform (DFRFT) that the DFRFT of any order can be computed by a linear summation of DFRFTs with special orders. Based on their work, we investigate linear summation of fractional-order matrices in a general and comprehensive manner in this paper. We have found that for any diagonalizable periodic matrices, linear summation of fractionalorder forms with special orders is related to the size and the period of the fractional-order matrix. Moreover, some properties and generalized results about linear summation of fractional-order matrices are also presented.