A question about signal processing

Hi everyone and happy new year!

here is my question:

i'm doing some radio signal processing with SP toolbox in MATLAB. because of the high number of virtual radio antennas that i'm working on , I want to know if there is anyway to make the process faster.

here is what I do normally:

1- inserting some excel like data with 3 column ( actually 4 but one of them is time that I use it in another way) into MATLAB ( x,y,z of radio antenna positions ) which I name them respectively like x75, y75,z75 for an antenna positioned at 75 meter from the core.

2- convert them to another unit which is straight forward because I use the command line

3- then I use the SP toolbox to insert the converted values as a signal which is time consuming because I need to insert a lot of them one by one!

4- then I should apply a bandpass filter with FFT algorithm to those signals again one by one...

5- then I need to export those filtered signals into workspace and save the peak of the FFT transformed signals ( Y stats ) for later use ( I do use the plot command )...

    %  plot(abs(fft(x75f.data)))

• *now think of it if i'm doing this for 100 radio antennas with x,y and z coordinates ...is there anyway to do any of those parts in command line? Like applying filter on converted values without having to do it in SP toolbox? *

any way to do it faster?*

Thanks!

Answer 1

[Wayne King]

Yes, how about just putting all your data in a matrix with 4 columns and M rows and not naming the variables?

You just know that column 1 is x, column 2 is y, column 3 is z, column 4 is t

and the rows represent distances.

Then you can easily scale the matrix by your constant factor. You can then do your operations directly on the matrix, like fft(), etc.

[Fernando]

thanks but the data comes from another program that works in Linux! the output is like this:

[Wayne King]

So can't you organize the data as a matrix? what are the dimension of these .dat files.

[Fernando]

yes I can! DAT files are just like the first image, with 4 column and 2082 rows. but i'm not sure how I can then work with that matrix to apply filter and find the values that I want.