How to solve using matlab The purpose of this problem is to use MATLAB to perform discrete-time conv
How to solve using matlab
![The purpose of this problem is to use MATLAB to perform discrete-time convolution and to solve a linear difference equation. Consider an LTI system described by the difference equation y[n] 0.8y[n-1]-2x[n] under the assumption of initial rest. We want to use MATLAB to compute the output y[n] for the following three inputs x[n]: (i) u[n] - u[n-2], (ii) u[n] 2u[u-2]+ u[n-6], and (ii) (0.7)*n u[n]. This should be done for each input using the three methods given below. For each method, turn in a listing of the code used to compute y[n], along with plots of x[n] and y[n] on the same axes (using an appropriate range 5. 3 5 9 of n to adequately illustrate the solution). a) (10 pts) Design a program to implement this equation directly in MATLAB. That is, your program should perform the recursion similar to that in Example 2.15. b) (10 pts) Design a program to implement the convolution sum directly. This should be written for arbitrary x[n] and h[n]. Note that to do this, you will have to determine the impulse response h[n] of this system, either analytically or using the results of part a) c) (5 pts) Use the convO function to compute the convolution. The convO function is a built-in function of MATLAB. Compare the results that you obtain to those in parts a) and b).](https://files.transtutors.com/cdn/qimg/2548cf81f76b4df8ba72d76d156d9bfa.jpg)
The purpose of this problem is to use MATLAB to perform discrete-time convolution and to solve a linear difference equation. Consider an LTI system described by the difference equation y[n] 0.8y[n-1]-2x[n] under the assumption of initial rest. We want to use MATLAB to compute the output y[n] for the following three inputs x[n]: (i) u[n] – u[n-2], (ii) u[n] 2u[u-2]+ u[n-6], and (ii) (0.7)*n u[n]. This should be done for each input using the three methods given below. For each method, turn in a listing of the code used to compute y[n], along with plots of x[n] and y[n] on the same axes (using an appropriate range 5. 3 5 9 of n to adequately illustrate the solution). a) (10 pts) Design a program to implement this equation directly in MATLAB. That is, your program should perform the recursion similar to that in Example 2.15. b) (10 pts) Design a program to implement the convolution sum directly. This should be written for arbitrary x[n] and h[n]. Note that to do this, you will have to determine the impulse response h[n] of this system, either analytically or using the results of part a) c) (5 pts) Use the convO function to compute the convolution. The convO function is a built-in function of MATLAB. Compare the results that you obtain to those in parts a) and b).