Update Content - 2021-05-02
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@ -12,7 +12,7 @@ Tags
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<https://dewesoft.com/daq/types-of-adc-converters>
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- Delta Sigma ([Baker 2011](#orgf10fad8))
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- Delta Sigma ([Baker 2011](#orgb22f10b))
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- Successive Approximation
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@ -31,9 +31,9 @@ Let's suppose that the ADC is ideal and the only noise comes from the quantizati
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Interestingly, the noise amplitude is uniformly distributed.
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The quantization noise can take a value between \\(\pm q/2\\), and the probability density function is constant in this range (i.e., it’s a uniform distribution).
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Since the integral of the probability density function is equal to one, its value will be \\(1/q\\) for \\(-q/2 < e < q/2\\) (Fig. [1](#org0a7db3b)).
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Since the integral of the probability density function is equal to one, its value will be \\(1/q\\) for \\(-q/2 < e < q/2\\) (Fig. [1](#org57805de)).
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<a id="org0a7db3b"></a>
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<a id="org57805de"></a>
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{{< figure src="/ox-hugo/probability_density_function_adc.png" caption="Figure 1: Probability density function \\(p(e)\\) of the ADC error \\(e\\)" >}}
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@ -88,4 +88,4 @@ The quantization is:
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## Bibliography {#bibliography}
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<a id="orgf10fad8"></a>Baker, Bonnie. 2011. “How Delta-Sigma Adcs Work, Part.” _Analog Applications_ 7.
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<a id="orgb22f10b"></a>Baker, Bonnie. 2011. “How Delta-Sigma Adcs Work, Part.” _Analog Applications_ 7.
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