Hi everyone
Robbins-Monroe algorithm uses for root finding of a noisy signal.
by calculating (taking) derivative from a noisy signal (that makes another noisy signal) and root finding of new noisy signal
could find the extremum that it shows maximum and minimum of the early noisy signal (for example 'close' signal).
is there anyone that interested in following this theory?
Thanks in advance!
Robbins-Monroe algorithm uses for root finding of a noisy signal.
by calculating (taking) derivative from a noisy signal (that makes another noisy signal) and root finding of new noisy signal
could find the extremum that it shows maximum and minimum of the early noisy signal (for example 'close' signal).
is there anyone that interested in following this theory?
Thanks in advance!