10-14-2011 09:55 AM
I have an array of temperature data acquired from a CompDAQ 9213 approximate length of 5000 data points. At some point in time during these 5000 data points, the temperature measurements transition from 25 C to 100C. There are typically around 100 data points of the 5000 that occur during the transtion.
How do I parse the 5000 data points and get a subset of measurments that contain only the data points during the transition? My method is unstable, there are some data sets that get a false subset.
10-14-2011 10:37 AM
Well there are certainly easier ways to get what you want.
Try this
10-14-2011 12:34 PM
Another way to think about this is, if your data remains fairly constant, then you have those transitions, you could simply analyze the array for outliers. The outliers would be the "transitions". As shown below, I have a much smaller data set than yours, but basically the same behavior you describe. Very little code needed.
10-14-2011 03:28 PM
Jeff
You solution though much simpler, doesn't work any better. I added a closest value, and even then there is enough niose in most of my temperature data arrays to make it fail.
Thanks
10-14-2011 04:37 PM
filter the signals