| ??? 08/27/08 11:13 Read: times |
#157791 - Low pass filter selection... Responding to: ???'s previous message |
Thanks for the clarification on the rounding aspect.
I do understand the benefits of the low pass filtering but wish to clarify : - I normally am required to acquire hydraulic flow and pressure signals. In the applications that I cover, you can take that flow plots are almost at DC levels and pressure plots alone can at times touch about 70 Bar / sec rise or fall. - Even when handling the input signals as differential ones, I normally get noise glitches superimposed on the base plot. My requirement is to remove these glitches and only plot the trend as a neat curve. In such an even how do I decide on the low pass filter value ? ( currently I oversample - say at about 2.5kHz - acquire 125 samples every 50mS and then average. The resulting mean value is then plotted. ) Thanks Raghu |
| Topic | Author | Date |
| Integrate decimate... | 01/01/70 00:00 | |
| Strength reduction | 01/01/70 00:00 | |
| >> = Divide and << = Multiply | 01/01/70 00:00 | |
| Decimating | 01/01/70 00:00 | |
| I have also used this approach | 01/01/70 00:00 | |
| Thought process in frequency domain.. | 01/01/70 00:00 | |
| Low-pass filter | 01/01/70 00:00 | |
| Low pass filter selection... | 01/01/70 00:00 | |
| Sample a longer run at high frequency and analyse | 01/01/70 00:00 | |
| Good suggestion | 01/01/70 00:00 | |
| For your application... | 01/01/70 00:00 | |
| Rooling average concept... | 01/01/70 00:00 | |
| Moving Average Filter = Rolling Average Filter | 01/01/70 00:00 | |
| General concept vs. specific algorithm. | 01/01/70 00:00 | |
| Correlated and uncorrelated noise | 01/01/70 00:00 | |
| Your language ... | 01/01/70 00:00 | |
| 'Synchronous'? | 01/01/70 00:00 | |
| Similar but not identical meaning | 01/01/70 00:00 | |
Yes, sounds waayyy better... | 01/01/70 00:00 |



