I have attached here the data, which was getting noise at output.

please can anyone help me seriously, i need to submit my project... here i have a problem that, from those values i am getting the waveform as like that, but i dont need like a noise, i need a line which was any shape... please help me friends.

[nani kalyan]

you can see here the data.

[nani kalyan]

i got like this for flow2_individual flow.

Answer 1

[Image Analyst]

Which of the 11 columns was the "x" and which was "y"? How did you plot them? Maybe you should use scatter() instead.

[nani kalyan]

column7 is x and column 11 is y.

[Image Analyst]

How about

[num, txt, raw] = xlsread(filename);
x = num(:, 7);
y = num(:, 11);
scatter(x, y);

[nani kalyan]

yes, i did. but i am getting noise at the output of graph.

[Image Analyst]

This is what I get

It looks turned with respect to yours and there seems to be two main clusters. What would you like the curve to look like?

[nani kalyan]

it shoulbe like exact line with perfect values i need.

[Image Analyst]

Again, what would you like the curve to look like? Pretend I'm really dumb and I don't know what your "perfect values" are. Show me.

[nani kalyan]

it should looks like this... so , please help me.

[Image Analyst]

How are we supposed to know that the point at (0.99, 10,500) is noise but the one at (1.01, 5000) is not noise? Do you have some reference curve so we can identify outliers from it? Can we use the 4 lines you gave as the reference curve?

[nani kalyan]

no, the curve i shown you is exact curve, i am getting for 7th column and 11 column.

[Image Analyst]

At the start, all you have is a collection of x,y coordinates. So again "How are we supposed to know that the point at (0.99, 10,500) is noise but the one at (1.01, 5000) is not noise?" If I don't have a reference curve, such as the one you posted (which is supposed to be the answer or noise-free solution), in advance, then how can I tell which are noise and which are good data???

[nani kalyan]

in the 2-d look up table how can we place the values to get same as like this graph.