PART 1

1. Using MATLAB, plot the input signal.
2. Find the output y[n] = x[n]_*h[n] using polynomial multiplication or using MATLAB.
3. Plot the output signal y[n] found in part b).
4. Compare the plots of both signals by superposing both traces. Hint: use the command hold in MATLAB to preserve the previous plot.
5. What this filter does?

A FIR filter is given by its unit sample response h[n]: h[n] = { b[n] + bon 1] The input is a length-17 discrete-time signal x[n]: x[n] = 25[n]+ 85[n-1]+45[n - 2] +145[n - 3] + 105[n - 4] + 205[n - 5] + 155[n 6] + 245[n 7] + 206[n-8] + 228[n - 9] + 148[n - 10] + 188[n - 11] + 88[n - 12] + 108[n - 13] + 48[n - 14] + 88[n - 15] + 28[n - 16]