DreX
New member
Re: Does wood make a difference?
If you use the wrong or less ideal measuring device, you will get real data, but it will be partial data, or data that's irrelevant to the question for which we want an answer. For example, the default FFT size of 1024 showed what looked like a lot of garbage, but increasing it to 8192 made for a clearer result.
Or if something doesn't turn out as expected, is it because that's "just the way it is", or is there an imperfection in the test setup? For example, if I conduct the exact same test twice, I see virtually no variation in harmonic amplitude up to 3-4kHz, but above that I see every so slight variations from one test to the next. Is the sample size too small? Is the test rig changing in some slight way between each test? These are the issues I have to work out.
The phrase, "comprehensible results" implies partial pre-supposition as to what the test results OUGHT to be. Much of what can be measured during tests may eventually prove to be totally irrelevant. It is still good practice to gather that data.
Proving what, if anything, does not make any difference is as useful as proving what does.
If you use the wrong or less ideal measuring device, you will get real data, but it will be partial data, or data that's irrelevant to the question for which we want an answer. For example, the default FFT size of 1024 showed what looked like a lot of garbage, but increasing it to 8192 made for a clearer result.
Or if something doesn't turn out as expected, is it because that's "just the way it is", or is there an imperfection in the test setup? For example, if I conduct the exact same test twice, I see virtually no variation in harmonic amplitude up to 3-4kHz, but above that I see every so slight variations from one test to the next. Is the sample size too small? Is the test rig changing in some slight way between each test? These are the issues I have to work out.