it isnt a homework.. i am trying some stuff out... which i want to implement completly in matlab with as less number of loops as possible making the complete use of matlab inbuilt function.. but its so vast to read... so i am posting some of the general issues that i come trough.. help me if u...
i have a matrix which has 16 columns and varying number of rows.. i
need to replace the elements ranging from -50 to 50 with zero and the
rest should remain the same.. i have coded for a single element
search and replace which is
[m, n] = size(Data);
for i = 1: m
for j = 1:n...
hi,
i have a page full of data extracted from sensor readings and hence the reading changes columnwise.. i wanted to know if there was any inbuilt function in matlab that helps me to analyse and relate the data columnwise.. please let me know if any more details are needed...
i have not yet...
hi,
when i use the save option in matlab, the answers that is saved is in floating point format for e.g, 5.7600000e+002 8.7690000e+003 1.7540000e+003 6.7700000e+002.. but i want it in the normal integer format like 5760 8769 1754 677 .... the command i am using is save myData.txt myData...
Dear Visigoth,
thanks for the help again.. one good solution i found was using the inbuilt find function. i have done some code optimization. find can directly get the rows and columns.. so i modified it like this
[ nRow, nColumn ] = size( newData );
derivatveOfData = diff( newData )
[mRow...
hi visigoth,
thanks for your help... here a bit more detail....
it is a data of 8 columns and 1000,s of rows.. but the columns are constant (8).. and it will be in the normal .txt format and quite huge.. sometimes the rows extending to 10000 lines...the main prob is that i have to do it using...
I am having a page full of data which comes from the sensor readings...which i have to scan through my program and check to see if there are any changes.. but my initial issue is that i need to write a function in matlab which takes the file which contains the data and gives an output saying...
