could you explain the reason you times by 2 and a a bit better. that's the part my lecturer skipped over as well and its the part that confuses me about these transforms. Thanks mate.
The random numbers are to put the equation into a specific form that leads to the sinc function. If you have not seen this derivation or the sinc function before, it probably would not occur to you to do this. Still, it is necessary to get things into the form we need.
If integrating zero gives you an arbitrary constant "C", then evaluate that constant at the upper limit and subtract the value of the constant at the lower limit. In this case, C(Infinity) - C(a) or C(-a) - C(-Infinity) which both equal C - C = 0. This is the process for evaluating definite integrals.
Sorry to bother you again, the biggest problem that I am facing these days as I am reading Discrete Time Signal processing ( Oppenheim ) is that its hard for me to solve summation of infinite sequences 0 to infinity,-infinity to + finity,and these types of things. would you tell me the name of the book which can help me.
Would you please comment on the physical significance of the Fourier transform of a transient signal like this pulse.
With a Fourier series (for a periodic signal), the line spectrum tells you what you how much signal amplitude you would measure on a spectrum analyzer at each of the harmonic frequencies, continuously. What does the FT spectrum tell you in this case? At what point(s) in time would you actually measure the ordinate values in that spectrum? Thank you.
@Holyfrik1 If the rectangular pulse is periodic, you will get a Fourier Series rather than a Fourier transform. My video "Fourier Analysis: Overview" explains this. My video "Fourier Series Example: Square Wave Part 1 & 2" shows the computation of the Fourier series coefficients for a periodic pulse.
could you explain the reason you times by 2 and a a bit better. that's the part my lecturer skipped over as well and its the part that confuses me about these transforms. Thanks mate.
crumblewolf 9 hours ago
hi...great explanation...helped me a lot! But what would happen if the amplitude of x is 3 and not 1?
marcodigio77 1 month ago in playlist fourier transform
@marcodigio77 The Fourier transform X(jw) is 3 times larger than in the video.
DarrylMorrell 1 month ago
@DarrylMorrell thank you for your reply! I must have done something wrong because I got it six times larger. :-)
marcodigio77 1 month ago
it was great up until the bit where we just start to randomly times the equation by numbers.
SHITONASTICK1100 1 month ago
The random numbers are to put the equation into a specific form that leads to the sinc function. If you have not seen this derivation or the sinc function before, it probably would not occur to you to do this. Still, it is necessary to get things into the form we need.
DarrylMorrell 1 month ago
Thank you for the video, but you make it sound so boring.
warriorrabbit 2 months ago
If integrating zero gives you an arbitrary constant "C", then evaluate that constant at the upper limit and subtract the value of the constant at the lower limit. In this case, C(Infinity) - C(a) or C(-a) - C(-Infinity) which both equal C - C = 0. This is the process for evaluating definite integrals.
RyanMMXII 3 months ago
Isn't it "illegal" to ignore the zero? Because integrating zero yields an unknown constant.
squarepusher303 5 months ago
Sorry to bother you again, the biggest problem that I am facing these days as I am reading Discrete Time Signal processing ( Oppenheim ) is that its hard for me to solve summation of infinite sequences 0 to infinity,-infinity to + finity,and these types of things. would you tell me the name of the book which can help me.
thanks
NaqashHaider 5 months ago
Would you please comment on the physical significance of the Fourier transform of a transient signal like this pulse.
With a Fourier series (for a periodic signal), the line spectrum tells you what you how much signal amplitude you would measure on a spectrum analyzer at each of the harmonic frequencies, continuously. What does the FT spectrum tell you in this case? At what point(s) in time would you actually measure the ordinate values in that spectrum? Thank you.
rchandos 7 months ago
what would happen if the rectangular pulse is periodic now?, will you just get infinity?
Holyfrik1 8 months ago
@Holyfrik1 If the rectangular pulse is periodic, you will get a Fourier Series rather than a Fourier transform. My video "Fourier Analysis: Overview" explains this. My video "Fourier Series Example: Square Wave Part 1 & 2" shows the computation of the Fourier series coefficients for a periodic pulse.
DarrylMorrell 1 month ago
What is the handwritten drawing program u are using?
lukmackul 8 months ago
@lukmackul Paintbrush for the Mac
DarrylMorrell 8 months ago
Wow, this was incredibly helpful, thank you so much!
xTimmAx 1 year ago
thanks a LOT, man! nice video
gugolplex 1 year ago
good video mate
brenskeee 1 year ago