Inverse fourier transform of this phase shift system











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$$H(Omega)=begin{cases}exp(-j pi/2) ,;&Omega >0 \
exp(jpi/2) ,;&Omega<0.end{cases}$$



How can I find the inverse fourier transform of this $(h(t))$ using fourier properties?



Fourier Transform Used:
$$X(Omega)equivint_{-infty}^{infty}x(t),e^{-jOmega t},dt.$$










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  • 1




    Is this a piece-wise defined function?
    – Adrian Keister
    Nov 19 at 16:00










  • @AdrianKeister yeah i had an issue with the format
    – Prestyy
    Nov 19 at 16:01






  • 1




    Ok, there's a better way to typeset: use the cases environment.
    – Adrian Keister
    Nov 19 at 16:03










  • Which definition of the Fourier Transform and Fourier Inverse Transform are you using? (There are at least three, maybe more.)
    – Adrian Keister
    Nov 19 at 16:04






  • 1




    @Prestyy: I'm sorry, but that's not what I was asking. You need to type up the exact formula for the Fourier Transform that you're using, and add that to your question body. There are at least three different ways of handling the constants that multiply the integrals in the definitions.
    – Adrian Keister
    Nov 19 at 16:12

















up vote
0
down vote

favorite












$$H(Omega)=begin{cases}exp(-j pi/2) ,;&Omega >0 \
exp(jpi/2) ,;&Omega<0.end{cases}$$



How can I find the inverse fourier transform of this $(h(t))$ using fourier properties?



Fourier Transform Used:
$$X(Omega)equivint_{-infty}^{infty}x(t),e^{-jOmega t},dt.$$










share|cite|improve this question




















  • 1




    Is this a piece-wise defined function?
    – Adrian Keister
    Nov 19 at 16:00










  • @AdrianKeister yeah i had an issue with the format
    – Prestyy
    Nov 19 at 16:01






  • 1




    Ok, there's a better way to typeset: use the cases environment.
    – Adrian Keister
    Nov 19 at 16:03










  • Which definition of the Fourier Transform and Fourier Inverse Transform are you using? (There are at least three, maybe more.)
    – Adrian Keister
    Nov 19 at 16:04






  • 1




    @Prestyy: I'm sorry, but that's not what I was asking. You need to type up the exact formula for the Fourier Transform that you're using, and add that to your question body. There are at least three different ways of handling the constants that multiply the integrals in the definitions.
    – Adrian Keister
    Nov 19 at 16:12















up vote
0
down vote

favorite









up vote
0
down vote

favorite











$$H(Omega)=begin{cases}exp(-j pi/2) ,;&Omega >0 \
exp(jpi/2) ,;&Omega<0.end{cases}$$



How can I find the inverse fourier transform of this $(h(t))$ using fourier properties?



Fourier Transform Used:
$$X(Omega)equivint_{-infty}^{infty}x(t),e^{-jOmega t},dt.$$










share|cite|improve this question















$$H(Omega)=begin{cases}exp(-j pi/2) ,;&Omega >0 \
exp(jpi/2) ,;&Omega<0.end{cases}$$



How can I find the inverse fourier transform of this $(h(t))$ using fourier properties?



Fourier Transform Used:
$$X(Omega)equivint_{-infty}^{infty}x(t),e^{-jOmega t},dt.$$







fourier-transform signal-processing






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Nov 19 at 16:16









Adrian Keister

4,63551933




4,63551933










asked Nov 19 at 15:57









Prestyy

434




434








  • 1




    Is this a piece-wise defined function?
    – Adrian Keister
    Nov 19 at 16:00










  • @AdrianKeister yeah i had an issue with the format
    – Prestyy
    Nov 19 at 16:01






  • 1




    Ok, there's a better way to typeset: use the cases environment.
    – Adrian Keister
    Nov 19 at 16:03










  • Which definition of the Fourier Transform and Fourier Inverse Transform are you using? (There are at least three, maybe more.)
    – Adrian Keister
    Nov 19 at 16:04






  • 1




    @Prestyy: I'm sorry, but that's not what I was asking. You need to type up the exact formula for the Fourier Transform that you're using, and add that to your question body. There are at least three different ways of handling the constants that multiply the integrals in the definitions.
    – Adrian Keister
    Nov 19 at 16:12
















  • 1




    Is this a piece-wise defined function?
    – Adrian Keister
    Nov 19 at 16:00










  • @AdrianKeister yeah i had an issue with the format
    – Prestyy
    Nov 19 at 16:01






  • 1




    Ok, there's a better way to typeset: use the cases environment.
    – Adrian Keister
    Nov 19 at 16:03










  • Which definition of the Fourier Transform and Fourier Inverse Transform are you using? (There are at least three, maybe more.)
    – Adrian Keister
    Nov 19 at 16:04






  • 1




    @Prestyy: I'm sorry, but that's not what I was asking. You need to type up the exact formula for the Fourier Transform that you're using, and add that to your question body. There are at least three different ways of handling the constants that multiply the integrals in the definitions.
    – Adrian Keister
    Nov 19 at 16:12










1




1




Is this a piece-wise defined function?
– Adrian Keister
Nov 19 at 16:00




Is this a piece-wise defined function?
– Adrian Keister
Nov 19 at 16:00












@AdrianKeister yeah i had an issue with the format
– Prestyy
Nov 19 at 16:01




@AdrianKeister yeah i had an issue with the format
– Prestyy
Nov 19 at 16:01




1




1




Ok, there's a better way to typeset: use the cases environment.
– Adrian Keister
Nov 19 at 16:03




Ok, there's a better way to typeset: use the cases environment.
– Adrian Keister
Nov 19 at 16:03












Which definition of the Fourier Transform and Fourier Inverse Transform are you using? (There are at least three, maybe more.)
– Adrian Keister
Nov 19 at 16:04




Which definition of the Fourier Transform and Fourier Inverse Transform are you using? (There are at least three, maybe more.)
– Adrian Keister
Nov 19 at 16:04




1




1




@Prestyy: I'm sorry, but that's not what I was asking. You need to type up the exact formula for the Fourier Transform that you're using, and add that to your question body. There are at least three different ways of handling the constants that multiply the integrals in the definitions.
– Adrian Keister
Nov 19 at 16:12






@Prestyy: I'm sorry, but that's not what I was asking. You need to type up the exact formula for the Fourier Transform that you're using, and add that to your question body. There are at least three different ways of handling the constants that multiply the integrals in the definitions.
– Adrian Keister
Nov 19 at 16:12












1 Answer
1






active

oldest

votes

















up vote
1
down vote



accepted










First, to simplify notation a bit, we notice that, since $e^{jpi/2}=j,$ it follows that
$$H(Omega)=-joperatorname{sgn}(Omega). $$
In looking at the wiki table of Fourier Transforms, in the non-unitary, angular frequency column (which corresponds to the definition you're using), we see that the tricky part here is to note that
$$mathcal{F}^{-1}(-jpioperatorname{sgn}(Omega))=frac1t,$$
so that
$$mathcal{F}^{-1}(-joperatorname{sgn}(Omega))=frac{1}{pi t},$$
since the Inverse Fourier Transform is linear.
However, this does not take into account the situation in which $t=0$. Technically, your $H(Omega)$ is undefined there, unless you made a typo in your definition and one of the inequalities is non-strict.






share|cite|improve this answer





















  • This is a well known-system, called Hilbert transformer.
    – Matt L.
    Nov 21 at 8:45











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1 Answer
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active

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1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
1
down vote



accepted










First, to simplify notation a bit, we notice that, since $e^{jpi/2}=j,$ it follows that
$$H(Omega)=-joperatorname{sgn}(Omega). $$
In looking at the wiki table of Fourier Transforms, in the non-unitary, angular frequency column (which corresponds to the definition you're using), we see that the tricky part here is to note that
$$mathcal{F}^{-1}(-jpioperatorname{sgn}(Omega))=frac1t,$$
so that
$$mathcal{F}^{-1}(-joperatorname{sgn}(Omega))=frac{1}{pi t},$$
since the Inverse Fourier Transform is linear.
However, this does not take into account the situation in which $t=0$. Technically, your $H(Omega)$ is undefined there, unless you made a typo in your definition and one of the inequalities is non-strict.






share|cite|improve this answer





















  • This is a well known-system, called Hilbert transformer.
    – Matt L.
    Nov 21 at 8:45















up vote
1
down vote



accepted










First, to simplify notation a bit, we notice that, since $e^{jpi/2}=j,$ it follows that
$$H(Omega)=-joperatorname{sgn}(Omega). $$
In looking at the wiki table of Fourier Transforms, in the non-unitary, angular frequency column (which corresponds to the definition you're using), we see that the tricky part here is to note that
$$mathcal{F}^{-1}(-jpioperatorname{sgn}(Omega))=frac1t,$$
so that
$$mathcal{F}^{-1}(-joperatorname{sgn}(Omega))=frac{1}{pi t},$$
since the Inverse Fourier Transform is linear.
However, this does not take into account the situation in which $t=0$. Technically, your $H(Omega)$ is undefined there, unless you made a typo in your definition and one of the inequalities is non-strict.






share|cite|improve this answer





















  • This is a well known-system, called Hilbert transformer.
    – Matt L.
    Nov 21 at 8:45













up vote
1
down vote



accepted







up vote
1
down vote



accepted






First, to simplify notation a bit, we notice that, since $e^{jpi/2}=j,$ it follows that
$$H(Omega)=-joperatorname{sgn}(Omega). $$
In looking at the wiki table of Fourier Transforms, in the non-unitary, angular frequency column (which corresponds to the definition you're using), we see that the tricky part here is to note that
$$mathcal{F}^{-1}(-jpioperatorname{sgn}(Omega))=frac1t,$$
so that
$$mathcal{F}^{-1}(-joperatorname{sgn}(Omega))=frac{1}{pi t},$$
since the Inverse Fourier Transform is linear.
However, this does not take into account the situation in which $t=0$. Technically, your $H(Omega)$ is undefined there, unless you made a typo in your definition and one of the inequalities is non-strict.






share|cite|improve this answer












First, to simplify notation a bit, we notice that, since $e^{jpi/2}=j,$ it follows that
$$H(Omega)=-joperatorname{sgn}(Omega). $$
In looking at the wiki table of Fourier Transforms, in the non-unitary, angular frequency column (which corresponds to the definition you're using), we see that the tricky part here is to note that
$$mathcal{F}^{-1}(-jpioperatorname{sgn}(Omega))=frac1t,$$
so that
$$mathcal{F}^{-1}(-joperatorname{sgn}(Omega))=frac{1}{pi t},$$
since the Inverse Fourier Transform is linear.
However, this does not take into account the situation in which $t=0$. Technically, your $H(Omega)$ is undefined there, unless you made a typo in your definition and one of the inequalities is non-strict.







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










answered Nov 19 at 17:34









Adrian Keister

4,63551933




4,63551933












  • This is a well known-system, called Hilbert transformer.
    – Matt L.
    Nov 21 at 8:45


















  • This is a well known-system, called Hilbert transformer.
    – Matt L.
    Nov 21 at 8:45
















This is a well known-system, called Hilbert transformer.
– Matt L.
Nov 21 at 8:45




This is a well known-system, called Hilbert transformer.
– Matt L.
Nov 21 at 8:45


















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