代码搜索：Performs

找到约 4,693 项符合「Performs」的源代码

代码结果 4,693
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www.eeworm.com/read/426833/8996511

m idd2.m

function x=idd2(Y) %IDD2 Single-level inverse discrete 2-D wavelet transform. % IDD2 performs a single-level inverse 2-D wavelet reconstruction % using Daubechies wavelet with four coefficients
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www.eeworm.com/read/178019/9423590

m ell2proj.m

function PRO=ell2proj(ELL,L0,sys,UND) % ELL2PROJ performs transformation from ellipsoidal coordinates to a mapping projection % % PRO=ell2proj(ELL,L0,sys,UND) % % Also necessary: Projections.
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www.eeworm.com/read/168118/9938411

m cscorr_sonic.m

function [sout,tnot,delt,zcs2,tcs2,deltcs]=cscorr_sonic(slog,zlog,tcs,zcs) % [sout,tnot]=cscorr_sonic(slog,zlog,tcs,zcs) % % CSCORR_SONIC performs check shot corrections on a sonic log. % The algorit
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www.eeworm.com/read/168118/9938671

m vz_fkmig.m

function [arymig,tmig,xmig]=vz_fkmig(aryin,vel,t,x,params) % VZ_FKMIG: fk migration for v(z) % [arymig,tmig,xmig]=vz_fkmig(aryin,vel,t,x,params) % % VZ_FKMIG performs post stack migration in the f
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www.eeworm.com/read/357618/10204688

m vz_fkmig.m

function [arymig,tmig,xmig]=vz_fkmig(aryin,t,x,vel,params) % VZ_FKMIG: fk migration for v(z) % [arymig,tmig,xmig]=vz_fkmig(aryin,t,x,vel,params) % % VZ_FKMIG performs post stack migration in the f
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www.eeworm.com/read/424063/10500315

m rlspps.m

function [sys, x0, str, ts] = rlspps(t,x,u,flag,name,order,char_poly,dt) %RLSPPS S-function which performs pole placement. % This M-file is designed to be used in a SIMULINK S-function block.
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www.eeworm.com/read/418911/10891946

m nu.m

function [X,rho,eta,F] = nu(A,b,k,nu,s) %NU Brakhage's nu-method. % % [X,rho,eta,F] = nu(A,b,k,nu,s) % % Performs k steps of Brakhage's nu-method for the problem % min || A x - b || . % The routine
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www.eeworm.com/read/418911/10892003

m lsqr_b.m

function [X,rho,eta,F] = lsqr_b(A,b,k,reorth,s) %LSQR_B Solution of least squares problems by Lanczos bidiagonalization. % % [X,rho,eta,F] = lsqr_b(A,b,k,reorth,s) % % Performs k steps of the LSQR Lan
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www.eeworm.com/read/417091/11004019

m kcluster.m

function [U_new, center, obj_fcn] = steprfcm(data, U, cluster_n, expo) %STEPFCM One step in fuzzy c-mean clustering. % [U_NEW, CENTER, ERR] = STEPFCM(DATA, U, CLUSTER_N, EXPO) % performs one
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www.eeworm.com/read/215101/7110802

m steprfcm.m

function [U_new, center, obj_fcn] = steprfcm(data, U, cluster_n, expo) %STEPFCM One step in fuzzy c-mean clustering. % [U_NEW, CENTER, ERR] = STEPFCM(DATA, U, CLUSTER_N, EXPO) % performs one it
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