I'm working in a signals class for continuous signals, and we have this problem shown above. I have tried using this function f_1 X f_2 = F_1 * F_2
, where I'm assuming this means multiplication of two functions is equal to the convolution of their fourier transforms. I'm using f_1 = 0.5^n
and f_2 = u(n)
.
So I can calculate the fourier transorm of u(n)
fine. It is (pi)(delta)(w) + 1/(jw))
. However, I cannot for the life of me figure out 0.5^n
. I tried to put it into the fourier transform integral integral of (0.5^t)/(e^(jwt))dt
from negative infinity to infinity
, but I end up with 0.5t/(e^(jw)), and when evaluated from negative infinity to infinity
, I end up with infinity
as my answer, unless of course the integration is wrong.
Therefore, either the answer is infinity * (pi)(delta)(w) + 1/(jw)
, which when convoluted would equal just the second function..? OR am I going about this problem completely wrong?