代码搜索：Approximation
找到约 1,542 项符合「Approximation」的源代码
代码结果 1,542
www.eeworm.com/read/175889/9527906
vhd r2p_post.vhd
--
-- post.vhd
--
-- Cordic post-processing block
--
-- Compensate cordic algorithm K-factor; divide Radius by 1.6467, or multiply by 0.60725.
-- Approximation: Ra = Ri/2 + Ri/8 - Ri/64 - Ri/512
--
www.eeworm.com/read/168111/9939388
m fsfind.m
function [Fn,nwo,f,t]=fsfind(fun,T,N,P)
%FSFIND Find Fourier Series Approximation.
% Fn=FSFIND(FUN,T,N) computes the Complex Exponential
% Fourier Series of a signal described by the function 'FUN'.
%
www.eeworm.com/read/361798/10035437
m euclide.m
function [s,V] = euclide(z,rho,theta)
% function EUCLIDE.M
% Nearest neighbor approximation algorithm
%
% Usage: [s,V] = euclide(z,rho,theta)
% Where: z = M by N matrix with samples in frequency dom
www.eeworm.com/read/425892/10311462
vhd r2p_post.vhd
--
-- post.vhd
--
-- Cordic post-processing block
--
-- Compensate cordic algorithm K-factor; divide Radius by 1.6467, or multiply by 0.60725.
-- Approximation: Ra = Ri/2 + Ri/8 - Ri/64 - Ri/512
--
www.eeworm.com/read/280595/10312038
m~ greedyappx.m~
function [sel_inx,Alpha,Z,kercnt,MsErr,MaxErr]=...
greedyappx(X,ker,arg,m,p,mserr,maxerr,verb)
% GREEDYAPPX Kernel greedy data approximation.
%
% Synopsis:
% [inx,Alpha,kercnt,mserr,maxerr]=...
%
www.eeworm.com/read/280595/10312062
m greedyappx.m
function [sel_inx,Alpha,Z,kercnt,MsErr,MaxErr]=...
greedyappx(X,ker,arg,m,p,mserr,maxerr,verb)
% GREEDYAPPX Kernel greedy data approximation.
%
% Synopsis:
% [inx,Alpha,kercnt,mserr,maxerr]=...
%
www.eeworm.com/read/278889/10490536
m eign.m
function [V,D,Ann] = eign(A1, A2,A3, args)
% Find the principal eigenvalues and eigenvectors of a matrix with Nystr鰉's low rank approximation method
%
% >> D = eign(A, nb)
% >> [V, D] = eign(A,
www.eeworm.com/read/352274/10566953
m fsfind.m
function [Fn,nwo,f,t]=fsfind(fun,T,N,P)
%FSFIND Find Fourier Series Approximation.
% Fn=FSFIND(FUN,T,N) computes the Complex Exponential
% Fourier Series of a signal described by the function 'FUN'
www.eeworm.com/read/159596/10637369
m fsfind.m
function [Fn,nwo,f,t]=fsfind(fun,T,N,P)
%FSFIND Find Fourier Series Approximation.
% Fn=FSFIND(FUN,T,N) computes the Complex Exponential
% Fourier Series of a signal described by the function 'FUN'.
%
www.eeworm.com/read/421949/10676067
m eign.m
function [V,D,Ann] = eign(A1, A2,A3, args)
% Find the principal eigenvalues and eigenvectors of a matrix with Nystr鰉's low rank approximation method
%
% >> D = eign(A, nb)
% >> [V, D] = eign(A,