📄 hermbasis.m
字号:
function [V]=hermbasis(L)%HERMBASIS Orthonormal basis of discrete Hermite functions.% Usage: V=hermbasis(L);%% HERMBASIS(L) will compute an orthonormal basis of discrete Hermite% functions of length L. The vectors are returned as columns in the% output.%% All the vectors in the output are eigenvectors of the discrete Fourier% transform, and resemble samplings of the continuous Hermite functions% to some degree.%% SEE ALSO: DFT, PHERM%% REFERENCES:% H. M. Ozaktas, Z. Zalevsky, and M. A. Kutay. The Fractional Fourier% Transform. John Wiley and Sons, 2001.% % This program is free software: you can redistribute it and/or modify% it under the terms of the GNU General Public License as published by% the Free Software Foundation, either version 3 of the License, or% (at your option) any later version.% % This program is distributed in the hope that it will be useful,% but WITHOUT ANY WARRANTY; without even the implied warranty of% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the% GNU General Public License for more details.% % You should have received a copy of the GNU General Public License% along with this program. If not, see <http://www.gnu.org/licenses/>.% Create tridiagonal sparse matrixA=ones(L,3);A(:,2)=(2*cos((0:L-1)*2*pi/L)-4).';H=spdiags(A,-1:1,L,L);H(1,L)=1;H(L,1)=1;H=H*pi/(i*2*pi)^2;if isoctave [V,D]=eig(H);else % The next command produce a warning, and seems to number the % eigenvalues incorrectly. %[V,D]=eigs(H,L,'LM'); % There must be a better way than this ... [V,D]=eig(full(H));end;% If L is not a factor of 4, then all the eigenvalues of the tridiagonal% matrix are distinct. If L IS a factor of 4, then one eigenvalue has% multiplicity 2, and we must split the eigenspace belonging to this% eigenvalue into a an even and an odd subspace.if mod(L,4)==0 x=V(:,L/2); x_e=(x+involute(x))/2; x_o=(x-involute(x))/2; x_e=x_e/norm(x_e); x_o=x_o/norm(x_o); V(:,L/2)=x_o; V(:,L/2+1)=x_e;end;
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -