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Compute Linear convolution of causal x(n) and h(n) using overlap add method in time domain X(n) = {1, 2, 3, 4, 5, 6, 7, 8 }, h(n) = {1, 1, 1 }
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$x(n) = {1, 2, 3, 4, 5, 6, 7, 8 } \ h(n) = {1, 1, 1 } \ \therefore, h(n) = {1, 1, 1, 0} \ x_1(n)= {1, 2, 0, 0} \ x_2(n)= {3, 4, 0, 0} \ x_3(n)={5, 6, 0, 0} \ x_4(n)={7, 8, 0, 0} \
y_1(n) …

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