Reshape array with respect to other array

Hi,

I have the time stamps stored in the array named A (mx1) and image data stored in B (mx1). I need to reshape the data in the array B to 1280 by 720 based on each time stamps stored in the array A. Basically at the end the array B becomes three dimensional array mxnxy.

May I know how to do this

[Dyuman Joshi]

You want to convert mx1 in to mxnxy?

Where will the nxy elements come from?

[Turbulence Analysis]

Hi,

Actually I have four arrays A - time stamp; B-x psotion; C- y position; D- image intensity data

[Dyuman Joshi]

And what is it that you want to do with these arrays?

[Turbulence Analysis]

The whole idea is to extract image from the array D corresponds to the time stamps stored in A. Please see the attached data

[Star Strider]

There are 35431 unique time stamps in ‘A’. How are those supposed to be parsed to get a (1280 x 720) matrix?

[dpb]

load matlab
whos

  Name         Size               Bytes  Class     Attributes

  ans          1x35                  70  char                
  cd_data      1x1             19985888  struct              
  cmdout       1x33                  66  char                

clear ans cmdout
cd_data

cd_data = struct with fields:
    A: [624538×1 double]
    B: [624538×1 double]
    C: [624538×1 double]
    D: [624538×1 double]

N=1280*720

N = 921600

numel(cd_data.A)/N

ans = 0.6777

Not to mention that there aren't enough elements in B to create a 1280x720 array, anyways...

plot(cd_data.A)

numel(cd_data.A)/numel(unique(cd_data.A))

ans = 17.6269

shows there is an average of about 18 values of A for each unique A...but the plot shows A isn't resetting to some particular value and repeating that, either; it shows an increasing slope over the entire range.

stairs(diff(cd_data.A),'-+')
xlim([0 400]), ylim([0 1.05])

There appear to be sets in the data but of differing lengths so even breaking at those can't go into commensurate sized arrays even if were to reduce the supposed array size.