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11th March 2003, 10:00 PM  #21  
diyAudio Member
Join Date: Sep 2002
Location: Sweden

Quote:
measurements. Still, the behaviour depends on the ratio between the signal period and the simulation step length, not the number of samples, although the latter of course also has an effect. At least this shows that understanding the mathematical proof of something does not necessarily imply understanding the concept being proved. Or perhaps it shows that I didn't understand the proof after all? 

11th March 2003, 10:05 PM  #22 
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It does indeed happen in real measurements. It's something that people doing FT spectroscopy in general are painfully aware of; that's one of the reasons that windowing is used so heavily, despite the consequences on resolving line shapes.
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12th March 2003, 10:14 AM  #23 
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Hi,
An FFT only works for harmonic signals. To get it working the number of periods MUST EXACTLY fit in the FFT window. Thus if you have a sine signal and a 32k FFT, the number of sine waves must exactly fit in the 32k samples to get it working. To circumvent this there is indeed a trick called windowing. A wellknown window is a cosine function or a sin^2 function applied over the FFT length. This has the side effect of generating side bands in the frequency plot which are not present in the original signal. Many people have investigated various types of window functions to minimise these side band effects. One of the best are those of BlackmanHarris and RifeVince. But be aware that those windows “widens” the measurement bandwidth app. 2 to 4 times. 
12th March 2003, 10:49 AM  #24 
diyAudio Member

The problem when using a spice simulator without is as mentioned by PJOTR that there is no window function... Without this, you will add a DC component to the simulation. and then you get a result like the 1001Hz you have shown.
Sonny 
12th March 2003, 11:05 AM  #25 
diyAudio Member
Join Date: Jun 2002
Location: Portugal

Sometime ago I used a program like this with my soundcard  a Soundmaker 32x. I was testing the output of my preamp when suddenly the card stopped functionning. I attributed this to a too high voltage on the input. I looked at it but could not repair it.
So I believe that a system for protecting the soundcard is a must unless you are willing to buy a new one once in a while. But then you could buy a scope for the same money, with way better accuracy... Miguel 
12th March 2003, 11:51 AM  #26 
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Join Date: Nov 2002
Location: Netherlands

True Miguel,
An oscilloscope is an indispensable tool for the serious DIY’s involved in electronics as will do a good signal generator on the workbench. But such RTA’s are very useful too. Adjusting the bias of a classAB amp is really a snap with a RTA + sine generator. Just look at the harmonics. This is way more accurate and faster than doing it with an oscilloscope. If you are lucky and you own a DSO you are luckier if you have a FFT function build in. But even then you are limited to the 8bit resolution of the scope. Not sufficient for serious work on amplifiers. For building your own amps such harmonic patterns will give you useful information about if you make progress or not with your design. For the speaker builder? Well …. err, I can’t live without it anymore. Measuring filter responses and the combined acoustical response is of great value for checking what you are doing. But I agree most soundcards will die if you feed them with more than 5V_pp. So a breakout box with protection is mandatory. 
12th March 2003, 12:04 PM  #27 
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Join Date: Sep 2002
Location: Sweden

Sonny and Pjotr,
thanks, I think I have a better practical understanding of FFT now. I realized that I was actually wrong in what I said about my experiments. I didn't actually adjust the simulation length when switching from 1 kHz to 1001 Hz, but kept it at 20ms, which of course is not 20 cycles in the latter case. I made some new experiments now, using the more correct, although not exact, value 19.98 ms and the results look much better. The artifacts are still there, but the sloping of the spectrum almost goes away. Adding windowing seems to give a nice floor again. This probably also explains why I didn't notice much difference with any windowing function previously, that is, I have mostly used simulation length and signal that match up to an integer number of cycles. Then, the conclusion would be that windowing would be useful in a realtime analyzer, like the one I have tested. 
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