What if you have a pre-established wave. We have a t array = [0:0.001:28], and a y constructed of five different sin waves dependent on t. If I had to apply a FFT to that, would I have to reconstruct the same wave based on the sampling frequency.
you did not explained why the next freqeucny components lies out of range when it should be a -w ? if you can explain how to plot double sided spectrum with both frequency components
In the continous time domain you would have a signal like x=sin(2*pi*f*t). But we are working with discrete time signals here. You have to replace the time variable t with n*Tsample. Tsample is the sample time of your signal and n is a natural number like 0,1,2,3...N-1. Further you have to use the correlation fsample = 1/Tsample.
your sine wave is sin(0.2pi t). the period is 10, and the frequency is 0.1. At the end, you get a peak at 50. And you said it is the sine wave frequency. what the heck are you doing?
Thank you very much. Your presentation is very clear. God bless you.
Very well explained, Sir. Thankyou very much.
Wonderful and to the point sir
Very useful content tq sir
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What if you have a pre-established wave. We have a t array = [0:0.001:28], and a y constructed of five different sin waves dependent on t. If I had to apply a FFT to that, would I have to reconstruct the same wave based on the sampling frequency.
Thank you for presentation
Stay tuned and dont forget to subscribe plz
Thank you so much!!
Can you write code on fft spectrum if fs should be less than fc
How the amplitude is calculated after FFT (500)?
Did anyone compare the result of fft and analytically fouriertransform of any function. Is it same or different?
you did not explained why the next freqeucny components lies out of range when it should be a -w ? if you can explain how to plot double sided spectrum with both frequency components
can you please explaiin why the second peak is at 450? and not at 550?
Can you please explain why (x=sin(2*pi*f/fs*(0:N-1));
I did not understand why divide by fs and why multiply by (0:N-1)
Any help is appreciated
In the continous time domain you would have a signal like x=sin(2*pi*f*t). But we are working with discrete time signals here. You have to replace the time variable t with n*Tsample. Tsample is the sample time of your signal and n is a natural number like 0,1,2,3...N-1. Further you have to use the correlation fsample = 1/Tsample.
Fs=24Mhz
Fc=110Mhz
Equation=cos(2*pi*fc*t);
your sine wave is sin(0.2pi t). the period is 10, and the frequency is 0.1. At the end, you get a peak at 50. And you said it is the sine wave frequency. what the heck are you doing?
makes zero sense to me. you defined f = 50. what is it supposed to mean? and why your definition of fs is actually the sampling frequency?
Thank you for this presentation.could you pls share your emailid