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Filter Out High Frequency Noise Using the Moving Average Feature in Advanced CODAS

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The Moving Average function in Advanced CODAS allows you to filter out high frequency noise from lower frequency periodic waveforms (a Low-pass filter) or eliminate a drifting baseline when acquiring high frequency waveforms (a High-pass filter).

In this example, featuring the new Advanced CODAS GUI, we’ll demonstrate how the Moving Average function is used to remove high frequency noise from a lower frequency periodic waveform.

 

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2 Comments

  1. Avatar
    Sushmita Purkayastha
    Posted October 13, 2017 at 12:32 pm Permalink

    Is there way to obtain moving average of wave form without using a high or a low pass filter. In the CODAS, it seems that I have to use either one of the filters to obtain moving average. I run transfer function analysis with my data and the recommendation is not to use any filters. Thank you

    • Posted October 13, 2017 at 3:45 pm Permalink

      I suggest that you submit a support ticket here: https://help.dataq.com/portal/dataq/newticket/

      Be sure to state that you use Advanced CODAS software. The short answer is that AC supports a moving average function, and moving averages are by mathematical definition also low-pass filters. So it isn’t possible to get a moving averaged result without also limiting frequency content. The MA window size defines the magnitude of filtering in direct proportion.

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