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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.
You will need to implement at least two Matlab functions: HW3main.m and svmTrain.m. The implementation details are as follows: function [alpha] = svmTrain(X,T,kernel,C,sigma) %
Complete assignment as per attached word doc. Include function files along with Matlab assignment file.
Obtain the input - Algorithms: From where does the input come? The two possible choices would be from an external file on a disk, or from the user, who enters the number by ty
study guide
An FIR filter has coefficients b = [ 1.0000 -0.6387 1.0214 0.8210 -0.7470 1.0920 ] (a) Find H(z) for the filter and plot its frequency response (magnitude and phase
1) Convert the table into format convenient for the processing with MATLAB. 2) Prepare a program that perform K Nearest Neighbours algorithm using Euclidian distance. (Your prog
Function definitions: There are various ways to organize the scripts and functions, but for now every function which we write will be stored in a separate M-file, that is why
The Plot Function: We will begin with a very simple graph of one point using the plot function. The script, plotonepoint, below plots only one point. To do this, at first the
Hi I''m wondering if someone can help me with Matlab coursework
my project is on load frequency control using FPID tuned using GA and PSO algorithm.the system is a two area system.
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