- #1
mathmari
Gold Member
MHB
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Hey!
When it is given that a signal $x(t)$ has a real-valued Fourier transformation $X(f)$ then is the signal necessarily real-valued?
I have thought the following:
$X_R(ω)=\frac{1}{2}[X(ω)+X^{\star}(ω)]⟺\frac{1}{2}[x(t)+x^{\star}(−t)]=x_e(t) \\ X_I(ω)=\frac{1}{2i} [X(ω)−X^{\star}(ω)]⟺ \frac{1}{2i}[x(t)−x^{\star}(−t)]=−i⋅x_o(t)$
where $X_R(ω)$ and $X_I(ω)$ are the real and imaginary parts of $X(ω)$, and $x_e(t)$ and $x_o(t)$ are the even and odd parts of $x(t)$, respectively.So the odd part of $x$ is $0$ and the even one is real-valued, and so the signal $x(t)$ is real-valued.Is everything correct? Are the above properties known or do we have to derive them? (Wondering)
When it is given that a signal $x(t)$ has a real-valued Fourier transformation $X(f)$ then is the signal necessarily real-valued?
I have thought the following:
$X_R(ω)=\frac{1}{2}[X(ω)+X^{\star}(ω)]⟺\frac{1}{2}[x(t)+x^{\star}(−t)]=x_e(t) \\ X_I(ω)=\frac{1}{2i} [X(ω)−X^{\star}(ω)]⟺ \frac{1}{2i}[x(t)−x^{\star}(−t)]=−i⋅x_o(t)$
where $X_R(ω)$ and $X_I(ω)$ are the real and imaginary parts of $X(ω)$, and $x_e(t)$ and $x_o(t)$ are the even and odd parts of $x(t)$, respectively.So the odd part of $x$ is $0$ and the even one is real-valued, and so the signal $x(t)$ is real-valued.Is everything correct? Are the above properties known or do we have to derive them? (Wondering)