I have a signal, and I want to add a plateau (Flattening) in my signal where ever I find local maxima.
What I am Doing:
I have 2 signals. 1st Reference and 2nd Measured Signal from Sensor. (I have taken 6 different measurement signals from 1 sensor).
The measured signals have delay, offset, flattening in it.
I want to make my reference signal to look alike my measured signal by putting delay, offset and flattening in signal to fulfill my needs.
I have done with delay and offset. The only problem I am facing is in Flattening.
To do flattening in my original signal I have observed that at every local maxima I have got flattening in signal and in every measurement flattening it is different.
So I want to make my signal flat at every local maxima.
Y axis: Height of flattening (I want to control the height of flattening at y axis)
Means I want to make a loop which contains varying values of flattening at y axis e.g In first attempt I want to give flattening of 0.1 then in 2nd attempt want to give flattening to al local maximas of 0.2 and observe their effect.
In short when I have local maxima so I want to give a flattening of (locs – 0.1) in the maxima on y axis. Means if I am getting peak at 5 so I want to give flattening at (5-0.1) at 4.9.
Then in 2nd loop want to check the effect of (locs-0.2) in the local maxima on y-axis.
Want to apply loop for values from 0.1 to 0.9.
X-axis: Width of flattening (I want to change the width of flattening)
Means I want to observe the effect of change in width of flattening by giving a range of values. This can be done by the help of loop.
In short when I have local maxima so I want to give a flattening width of 0.1 in the maxima on x axis.
Then in 2nd loop want to check the effect of 0.2 width change in the local maxima on x-axis.
Want to apply loop for values on x axis also for certain range.
Original Data Details :
In my original data x axis contains values in decimals so don’t want to interpolate data.
In my original data y axis also contains values in decimals.
size of my real data is 1x1666520.
Window effect:
The window is just to observe the behavior of change occurred at place of maxima means like if width of flattening is 0.1 so window is about 0.2.
I am sorry I remained unable to provide a good example data that explains exactly my situation in MATLAB so I have attached a handmade sketch.
I hope that I remained capable enough to make my question clear.
Below are the attached figures for explanation of flattening and How my Original signal looks like.
I am using MATLAB platform .
I am also attaching a rough example code on random data just to explain the concept though it is not mature enough and not correct but it will provide an idea what i have done uptill now to achieve the results.
t = 1:0.1:25 ;
A = [1 0 1 2 3 5 0 1 0 0 0 2 3 6 7 0 0 8 0 1 1 2 3 4 2];
[pks,locs] = findpeaks(A)
% A(A>locs)=locs
win1 = hamming(numel(A))';
xw1 = win1.*A;
figure
plot(t,A,'b')
A(locs+1) = A(locs);
A(locs-1) = A(locs);
hold all;plot(t,A,'r');
This is just my approach towards solving the problem which is just ok . If someone has a different approach so please share.
Thanks a lot in advance for your time and valuable and mature comments.
Dear Asif,
Inspired by the work in the files and publications attached I think you will find the way to the solution, good luck.
Patent US8728000 - Method and device for carrying out a signal ...
www.google.sr/patents/US8728000
Best regards
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