first convert non-causal into causal and then find DFT for that then applt shifing property.
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To find the inverse Fourier transform from Fourier series coefficients, you first need to express the Fourier series coefficients in terms of the complex exponential form. Then, you can use the inverse Fourier transform formula, which involves integrating the product of the Fourier series coefficients and the complex exponential function with respect to the frequency variable. This process allows you to reconstruct the original time-domain signal from its frequency-domain representation.
obtaining the frequency respones of discret signal.
Oh, dude, Fourier series is like this mathematical tool that helps break down periodic functions into a sum of sine and cosine functions. It's named after this French mathematician, Fourier, who was probably like, "Hey, let's make math even more confusing." But hey, it's super useful in signal processing and stuff, so thanks, Fourier, I guess.
normally the unit ramp signal is defined as follows... r(t)= t, t>=0 0,otherwise so the laplace of it is given as R(s)=1/s^2
A signal is said to be orthonormal when two vector are perpendicular and having unit length.