Best explanation so far, loved itt!! BTW why only rotating in 2D space?? I mean why not rotating all the dimensions to the complex space and take the real part?
Appreciate the comment! Good question. The rotation are done in 2D in euclidean space but for each pair of dimensions. The connection with complex space is because the angle you are rotating is dependent on frequency of oscillations found in complex space. Higher frequency means faster rotations for fine gain positioning. The real part is kind how to transfer that information to euclidean. That's how I understand at least.
great explanation
@@datahouse24 thanks! Hope it helps you.
Best explanation so far, loved itt!! BTW why only rotating in 2D space?? I mean why not rotating all the dimensions to the complex space and take the real part?
Appreciate the comment! Good question. The rotation are done in 2D in euclidean space but for each pair of dimensions. The connection with complex space is because the angle you are rotating is dependent on frequency of oscillations found in complex space. Higher frequency means faster rotations for fine gain positioning. The real part is kind how to transfer that information to euclidean. That's how I understand at least.
Great work!
Good content
@@sachinmohanty4577 appreciate it!
keep up good work!
Thanks man! Appreciate it...Hope the content helps.
greattt explanation. Btw what’s the app you’re using?
Thanks! App is called Concepts.