Can you please show the circuits which create these window functions?
@Pedro-rz5dc14 күн бұрын
As DFT is a discrete algorithm, with implementation in digital systems, the "circuits" that implement them are rather "code circutis",i.e, code that implement each windowing function. For instance, if you search for DSP libraries there are a plethora of implementations (a lot calling C functions with math.h standard library geometric functions). At least, that is my understanding.
@lohikarhu73412 күн бұрын
Really nice 👍
@iain_explains11 күн бұрын
Thank you! Cheers!
@lohikarhu73412 күн бұрын
It reminds me of the picture that many people have of Nyquist... They don't understand that the theorom only holds for a continuous waveform, as, otherwise, you are "windowing" the sinusoid by some finite period. I think.
@jasminnadic21038 күн бұрын
Thank you, a more general question. When I have the signal given in the form y(t)=cos(2×pi×t-phi), how do I know that we are in the frequency domain or time domain? I assume we are in time here because "y(t)". Because we have f and t in the equation and sometimes we have just t in the equation e.g. y(t)=t×s(t) - here it is clear, we have just t in the equation. Thanks.
@iain_explains8 күн бұрын
You don’t have f in the equation you wrote! Only t. So it’s the time domain.
@jasminnadic21038 күн бұрын
@iain_explains I am sorry, I mean y(t)=cos(2×pi×f×t-phi). Is f here a fixed value? Thank you.
@iain_explains7 күн бұрын
Yes, when people write the equation the way you have now, they are generally referring to a sinusoidal carrier waveform in a communication system, where the "f" in your equation is most commonly written "f_c", which refers to the carrier frequency. It's the specific frequency given by the oscillating crystal.
@pitmaler443914 күн бұрын
When I have that DFT vector with the entries at 1 and 7, what is the equation to get to the frequency f=1/p (by calculation)? Thanks
@iain_explains13 күн бұрын
This video should help to explain it: "How does the Discrete Fourier Transform DFT relate to Real Frequencies?" kzbin.info/www/bejne/pnqpq2tqpM9smaM