Which adc uses oversampling

The difference between the maximum and minimum is nearly identical showing range of voltage measured is correct. From the graphs below you can see that decimation is working i. This brings up a plot of the data which shows the noisy raw ADC value of ADC A0 although this waas filtered using an averaging filter with averages of 10 samples.

You can see the stepped nature of the output which is defined by the "normal" resolution of the ADC. This brings up a plot of the decimated data.

Amazingly the steps have disappeared and a very nice linear line is shown. Depending on noise in the system you may get a more bumpy output. There are many noise sources including ,the power supply USB is noisy , The Nano layout itself not analogue friendly. This shows that the ADC is now capable of finer resolution - and that is just by doing a bit of averaging and shifting! Too much noise can give a less linear output - but too little won't allow the Arduino oversampling method to work.

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Best Microcontroller Projects. Arduino Oversampling: Number of Bits The mathematics [1] show that for n bits of extra resolution, you sample the input 4 n times, and for decimation the output you shift the result right by n bits.

The following table shows what you can do with the Arduino ADC: New Bits Extra samples Decimation right shift Bit resolution achieved 1 4 1 11 2 16 2 12 3 64 3 13 4 4 14 5 5 15 6 6 16 Note: Every multiple of 4 samples gets you one more bit of resolution. There are a number of other ways to increase the dynamic range of an ADC, such as operating multiple ADCs in parallel and digital postprocessing the output to get the averaged result or using programmable gain amplifiers. However, some designers may find these methods to be cumbersome or impractical to implement for their system mainly due to the power, space, and cost reasons.

Oversampling is a cost-effective process of sampling the input signal at a much higher rate than the Nyquist frequency to increase the SNR and resolution ENOB that also relaxes the requirements on the antialiasing filter.

As a general guideline, oversampling the ADC by a factor of four provides one additional bit of resolution, or a 6 dB increase in dynamic range. The digital low-pass filter LPF then removes the noise outside the bandwidth of interest, and the decimator reduces the output data rate back to the Nyquist rate.

They use a proprietary capacitive digital-to-analog technology to reduce noise and improve linearity without latency or pipeline delay. The low noise floor is achieved due to a combination of low rms noise and high throughput. That makes these ADCs suitable for oversampling applications. The power dissipation scales linearly with throughput rate, as shown in Figure 2, making it suitable for low power portable applications. We will also look at the available evaluation board and software that can provide analysis.

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