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I have a design like this ( full code, UCF & test bench towards the end)..
data_in <= data when (readwrite = '0' and reset = '0') else (others =>'0');
process(clk,reset)
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if(reset = '1') then
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elsif(clk'event and clk = '1') then
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if(readwrite = '0') then
counter <=...
Hi Klaus,
I've been trying out a few things to handle the spike. I added an additional short length moving average filter on top of the RMS & this seems to get rid of the spike with minimal response delay(during a change in magnitude).
The other question I had was regarding what you mentioned...
Actually, you could say that in a way I am able to "see" the future frequency. The method I'm following is to keep accumulating new samples into a buffer until I get a full cycle(based on zero crossings). Once a full cycle is obtained, I process the all the samples in that cycle as a "batch"...
Hi Klaus,
I've been working on implementing this method and a few doubts popped up.
1. What's the integration_count/integration_time that you've mentioned?
I tried guessing what this might be but just couldn't come up with an answer. For some reason, the results I see are all over the place &...
Umm, where & when did I mention that the frequency shifts from sample to sample?:???:
I said, the frequency can change from cycle to cycle. Say you have 1 cycle of 100Hz, the next cycle maybe 110Hz. Something like that.
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Agreed. I think I made our(mine tbh) lives quite a...
Hi Barry,
The RMS needs to be computed for every sample & not every cycle, i.e. every time a new sample comes in, it is squared, divided by N & added to the running total. Then, the squared & divided by N value of (n - N)th sample is subtracted. So, I think computing RMS every 3 zero crossings...
I'm using a sliding RMS mechanism to compute RMS of a signal, i.e. with a window size of N, I add the squared value of the new sample x(n) to the running total while deducting the squared value of the x(n - N) sample and then performing a square root to get the RMS value.
This method works fine...
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