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Using MATLAB, perform the following steps: Input: An 1 1 th - degree polynomial ( over GF ( 2 ) ) , with coefficients of

Using MATLAB, perform the following steps:
Input: An 11th-degree polynomial (over GF(2)), with coefficients of the 11th-degree term and the constant term set to 1. Therefore, the total number of candidates is 2^10.
Output: Primitive polynomials. Generate a sequence using the polynomial and LFSR (Linear Feedback Shift Register).
2. Calculate s(t)=1-2* x(t).
3. Compute the autocorrelation function R(tau). R(tau)=\Sigma (t =0 to (2^11-2))(s(t)* s(t + tau)). Here, the index of t + tau is calculated modulo (2^11-1).
4. If R(tau) has a maximum value of 2^11-1 at tau=0 and consists only of 1s and -1s otherwise, then it's a primitive polynomial.
Compare the speed of this computation using FFT as well.

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