I know that if $f_\mathrm{m}$ is the "Nyquist frequency" (max frequency) and $f_\mathrm{s}$ sampling rate then $f_\mathrm{s}>2f_\mathrm{m}$.
- Am I correct so far?
I have a signal $x(t)$ with max frequency $f_1$ and $h(t)$ with $f_2$ and we define $y(t)= h(t)*x(t)$ ($*$ for convolution) and we need to find the sampling frequency/Nyquist frequency of this function.
So the Nyquist frequency of $x(t)$ is $f_{\mathrm{s}_{x}} >2f_1$ and of $h(t)$ is $f_{\mathrm{s}_{h}} >2f_2$.
Now I saw that someone wrote that using the convolution theorem we get $Y(f)=H(f)X(f)$, so there must be that $f_\mathrm{s} \leq \min\{2f_1,2f_2 \}$ stating that this is an upper bound because frequency may cancel each other.
- Why is that true?
I must mention that he wrote $Nq(x)$ instead of $f_{\mathrm{s}_{x}}$ (I just understood that he meant the same), also it's not supposed to be $f_\mathrm{s} \geq \min\{2f_1,2f_2 \}$ ?
I'm also not sure about is that $X(f)=0$ if $|f|>\frac{Nq(x)}{2}$.
- Why is that?