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Problem 1. Create a vector representing x coordinates of a measurement with 20 points between 0 and 10. Create another vector y representing fake measurements which are related to the above x values as y = 2.3 x - 1.2. Next add random (normal, Gaussian) noise to the vector y. Plot on the same graph both versions of vector y in different colors. Next use attached linregr.m function to find a least square fit (linear regression) for your fake experimental data.
Problem 2. Create a three dimensional diagram of function z = (x-2)2 + (y-3)3.
Capture the matlab code in a text file.
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Calling a Function: Here is an illustration of the call to this function in which value returned is stored in the default variable ans: >> calcarea(4) ans = 50.2655
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Example of variable names: If nothing appears when, who or whose is entered, which means there aren't any variables! For illustration, in the starting of a MATLAB session, the
Plot way forms for the following modulation schemes using Mathlab: a) 2 ASK b) BFSK c) BPSK 4 ASK
Problem 1. Create a vector representing x coordinates of a measurement with 20 points between 0 and 10. Create another vector y representing fake measurements which are related to
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