DR LAW!! a ceramic tiles and it also works for rejection. You can use arduino hardware support with serial port to find the normal plain tile and crack tile :

https://www.mathworks.com/matlabcentral/fileexchange/64867-ceramic-tile-carck-detection-and-rejection

https://core.ac.uk/download/pdf/144147955.pdf

Hopefully , the above is of some consequence. Regards--

Dear Jason las

I m fully agreed with durrani

Aparna Sathya Murthy

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Aparna Sathya Murthy

this file same as i posted data set

Aparna Sathya Murthy

From ur graph it is almost there, can i know the algorithm that u are using?

I upload this graph which is using the build in command "ifft()" in matlab with the same set data that i uploaded here.

My goals are

1.) to get the 2 peaks in the graph which is located at 9th and 15th of the index number

2.) using proposed method will getting similar pattern of the graph as after using ifft

https://jyx.jyu.fi/bitstream/handle/123456789/19732/URN_NBN_fi_jyu-200903081095.pdf?

Aparna Sathya Murthy

Can I know how did it?

Aparna Sathya Murthy

i need to

1.) get the 2 peaks in the graph which is located at 9th and 15th of the index number in frequency domain

2.) using proposed method will getting similar pattern of the graph as after using ifft

Aparna Sathya Murthy

after ifft, need to use abs() as well.

However, i need to use the proposed method inside the paper.

My questions are

1.how to assume a set of t and n number of Ai and ti to be extracted?

I have a set of data in time domain with the number of 3 peaks and 101 points of data

Aparna Sathya Murthy

I have a set of data in frequency domain with the number of 2 peaks and 101 points of data .

Number of Ai and ti to be extracted should be number of 2 reflections or 101 points of data ?

Aparna Sathya Murthy

Do you have any suggestion on it?

Aparna Sathya Murthy

1.) separate my data into real part(fi) and imaginary part(fr)

2.) create a n x N of F matrix in equation 7 of the paper. n is the number of frequency measurements and N is the number of Ai, ti pairs to be extracted. I choose n= 101 and N=101 as my data have 101 points

3.) From equation 14 of the paper,

There are 5 variables which are and form the following matrices to find by using inverse matrix

nxN Fr_T,(real part of F transposed)

nxN F_T,(imaginary part of F transposed)

nx1 Fr,(real part of F )

nx1 Fi(imaginary part of F )

nx1 a(absolute value of amplitude which means need to take the magnitude of a only)

4.) After getting matrix of a, find the least different between the magnitude of my data after ifft() and matrix a

The above are what I understood from the paper.