- #1
gryphon1221
- 9
- 0
I have been wracking my brain trying to figure this out. I have a 1xn vector I have gained through signal processing. I am multiplying it to another 1xn vector with a different scale.
the first vector Xb moves to the next value every 1/1.023e6 seconds
the second vector Xc moves to the next value every 1/1.405e6 seconds.
I am looking for a way that I can transform keep Xb's 1xn dimension, but hold the values over a sample time of 1/1.405e6 seconds. for example the first ten values of:
Xb=[-1 1 -1 -1 -1 -1 1 1 -1 -1]
Xc=[0 1.41373858718699, 0.0732749615049943, -1.40994069977540, -0.146353076113111, 1.40235512765087, 0.219038025739767, -1.39100224880207, -0.291134548504378, 1.37591256176390]
The time scale difference makes it so Xb has the same value for the first 6 values of Xc, but this is not a constant feature when comparing the vectors. Does anybody have a clue how to do this?
the first vector Xb moves to the next value every 1/1.023e6 seconds
the second vector Xc moves to the next value every 1/1.405e6 seconds.
I am looking for a way that I can transform keep Xb's 1xn dimension, but hold the values over a sample time of 1/1.405e6 seconds. for example the first ten values of:
Xb=[-1 1 -1 -1 -1 -1 1 1 -1 -1]
Xc=[0 1.41373858718699, 0.0732749615049943, -1.40994069977540, -0.146353076113111, 1.40235512765087, 0.219038025739767, -1.39100224880207, -0.291134548504378, 1.37591256176390]
The time scale difference makes it so Xb has the same value for the first 6 values of Xc, but this is not a constant feature when comparing the vectors. Does anybody have a clue how to do this?