performance - Speed up for loop in Matlab -

-

i have following for loop makes program runs slow when file size big. best way vectorize it.

i read data ply file here using command, data = textread(filename, '%s','delimiter', '\n');.data n*1 cell array. each element in data 7*1 cell array of char values. sample data file here.

for = 1:length(data)-1     pc(i, 1) = (str2double(cellstr(data{i,1}{1,1})));     pc(i, 2) = (str2double(cellstr(data{i,1}{2,1})));     pc(i, 3) = (str2double(cellstr(data{i,1}{3,1})));     pc(i, 4) = (str2double(cellstr(data{i,1}{4,1})));     pc(i, 5) = (str2double(cellstr(data{i,1}{5,1})));     pc(i, 6) = (str2double(cellstr(data{i,1}{6,1}))); end

this want

>> pc = str2double([data{:}].') pc =     0.1033   -0.2737    0.8570  221.0000  196.0000  174.0000  255.0000     0.1054   -0.2731    0.8550  220.0000  195.0000  173.0000  255.0000     ...     0.1139   -0.2803    0.8490  221.0000  194.0000  172.0000  255.0000     0.1117   -0.2829    0.8500  225.0000  200.0000  178.0000  255.0000

you can remove last column , row (as appears done in question) with

>> pc = pc(1:end-1, 1:end-1) pc =     0.1033   -0.2737    0.8570  221.0000  196.0000  174.0000     0.1054   -0.2731    0.8550  220.0000  195.0000  173.0000     ...     0.1139   -0.2803    0.8490  221.0000  194.0000  172.0000

Comments

Post a Comment

Popular posts from this blog

matlab - error with cyclic autocorrelation function -

-
Image
i'm trying code cyclic autocorrelation function in matlab follows: t=0:(n-1); t=t*te; i_alpha=0; tau=-n2*te:te:n2*te; alpha=-1/2:1/n:1/2; ryy_cl=zeros(length(alpha),length(tau)); alpha=alpha/te ind_tau=0; i_alpha=i_alpha+1; k=tau ind_tau=ind_tau+1; if k>0 % ryy_cl(i_alpha,ind_tau)=1/length(sig_bin_syl_mod(1:end- k))*sum((sig_bin_syl_mod(1:end-k)).*sig_bin_syl_mod(k+1:end)).*exp(1i*2*pi*alpha*t(1+k:length(sig_bin_syl_mod(1:end)))); ryy_cl(i_alpha,ind_tau)=(1/n)*sum((sig_bin_syl_mod(1:end-k)).*sig_bin_syl_mod(k+1:end)).*exp(-1i*2*pi*alpha*t(1:end-k)); else ryy_cl(i_alpha,ind_tau)=(1/n)*sum((sig_bin_syl_mod(1-k:end)).*sig_bin_syl_mod(1:end+k)).*exp(-1i*2*pi*alpha*t(1-k:end)); end end end i'm getting errors, , doesn't show expecting. according below formulae, how can fix it? the code provided incomplete, difficult confidently reproduce error. in particular, haven't de...
Read more

django - (fields.E300) Field defines a relation with model 'AbstractEmailUser' which is either not installed, or is abstract -

-
i trying create customuser django project email username , add radio button truck , company. in registration process email-id registered per truck or company. mentioned radio button 'tag' , add manytomany field tag in emailuser model. when makemigrations, raising error : (fields.e300) field defines relation model 'abstractemailuser' either not installed, or abstract. i quite new django , not sure whether have created correct code wants. please me solving this. here code, models.py: import django django.contrib.auth.models import ( abstractbaseuser, baseusermanager, permissionsmixin) django.core.mail import send_mail django.db import models django.utils import timezone django.utils.translation import ugettext_lazy _ class emailusermanager(baseusermanager): """custom manager emailuser.""" def _create_user(self, email, password, is_staff, is_superuser, **extra_fields): """create , save emailus...
Read more

c# - What is a good .Net RefEdit control to use with ExcelDna? -

-
i using exceldna , c# build suite of tools. part of forms i'd want user select cells/ranges workbook. i've got application.inputbox route working...but doesn't cool... i haven't read many things excel's refedit control, , see many have in past written workarounds, in (shudder) vba or vb.net. however, none of these seem recent... best approach/control refedit functionality on form run via exceldna (if applicable)? the refedit sample project of github explores different ways of dealing threading when showing form excel add-in, main issue making refedit control .net add-in. check page links various other implementations: https://github.com/excel-dna/exceldna/wiki/links-about-refedit
Read more