01-26-2006 11:32 AM
01-26-2006 04:46 PM
Randall,
Thanks for the information. Will look into the FFT Filter.vi attached in your reply. Another observation made during my data acquisition process regarding the phase algorithm is this: when both i/p and o/p are almost in phase (i.e., when the phase is very close to zero), the algorithm throws out random phase information. By random I mean, the data obtained is not an accurate representation of the actual measurement (by visually looking at the waveforms, one can arrive at a conclusion that the waveforms are "almost" in phase) . To explain further, if the phase is say around +/- 0.5 degree, the measurement shows up anywhere between -2 to 4 degrees. This is so random in nature, that it is really difficult to predict a range. Is it because of the very small phase difference that the phase algorithm's accuracy of measurement is lost? I have attached a Phase.jpg file for your reference. This is the most current version I am using. The mean and standard deviation are to keep track of the accuracy of the phase measurement. By looking at these numbers and the actual phase data, I find out the optimal sampling rate for a given input frequency, setting the number of points to 2000 (constant). Let me know what you think. Thanks!
01-26-2006 04:47 PM
Randall,
Here is the Phase.jpg file I forgot to attach in my previous email.
01-27-2006 09:11 AM
Randall,
Getting down the basics a little bit, if you don't mind. I couldn't understand the concept of acquiring 'x' no of cycles for 2000 points. How does one go about doing this while acquiring data? Attached is word document file with a range of i/p frequencies and sampling rates I have been using. It also includes the no of cycles required for 2000 points. Can you please explain this concept. Thanks.
01-27-2006 11:56 AM