代码搜索：Approximation

找到约 1,542 项符合「Approximation」的源代码

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m dspca.m

function [U,X,x,F,k,dualitygap,cputime,perceigs]=DSPCA(A,rho,gapchange,maxiter,info,algo) % Wrapper function for sparse_rank_one_mex % DSPCA finds a sparse rank-one approximation to % a given symm
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www.eeworm.com/read/138860/13207201

m nlademo2.m

function nlademo2 % NLADEMO2 Nonlinear approximation demo using only the finest scale % Test image im = imread('peppers.png'); im = double(im) / 256; % image range = [0, 1] im = smthb
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www.eeworm.com/read/138743/5813969

m wt09fig04.m

fprintf('\n'); disp('Figure 9.4') disp('Window 1: Non-linear approximation of a Lena image ') disp('of N^2=256^2 pixels, with M = N^2/16 wavelet coefficients.') disp('The relative norm of the erro
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www.eeworm.com/read/491824/6426829

m nnd11fa.m

function nnd11fa(cmd,arg1) % NND11FA Function approximation demonstration. % This demonstration requires the Neural Network Toolbox. % Copyright 1994-2002 PWS Publishing Company and The MathWorks
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www.eeworm.com/read/479088/6699334

m nene.m

function [s,V] = nene(z,rho,theta) % function NENE.M % Nearest neighbor approximation algorithm % [s,V] = nene(z,rho,theta) % z = M by N matrix with samples in frequency domain % rho, theta = radius
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www.eeworm.com/read/410134/11301108

m mwtlsr.m

function [M,dh] = mwtlsr(d,w,r) % MWTLSR - Weighted Total Least Squares misfit computation. % [M,DH] = MWTLSR(D,W,R) gives the WTLS misfit M and the WTLS % approximation DH of the data D by the model
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www.eeworm.com/read/410134/11301117

m mwtlsp.m

function [M,dh] = mwtlsp(d,w,p) % MWTLSP - Weighted Total Least Squares misfit computation. % [M,DH] = MWTLSP(D,W,P) gives the WTLS misfit M and the WTLS % approximation DH of the data D by the model
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www.eeworm.com/read/259886/11759455

m nnd11fa.m

function nnd11fa(cmd,arg1) % NND11FA Function approximation demonstration. % This demonstration requires the Neural Network Toolbox. % Copyright 1994-2002 PWS Publishing Company and The MathWorks
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www.eeworm.com/read/339987/12188987

m compare_nla.m

function [wsnr, fsnr, risnr, rwsnr] = compare_nla(im1) % Comparison of "non-linear approximation" curves % image is of size 257 by 257 % Wavelet setting wname = 'sym4'; dwtmode('per'); n = 8;
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www.eeworm.com/read/251851/12315356

m stretch_const_fmincon.m

function [f,g] = ... stretch_const_fmincon(X,n_vector,C_matrix,d_vector,t0,tf) % Compute objective function for the optimization problem in the flow pipe % segment approximation procedure for
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