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PhDthesis were categorized as articles.
Add "fron matter" to specify zettels category
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@@ -3,17 +3,18 @@ title = "Analog to Digital Converters"
author = ["Thomas Dehaeze"]
keywords = ["electronics"]
draft = false
category = "equipment"
+++
Tags
: [Electronics]({{< relref "electronics" >}})
: [Electronics]({{<relref "electronics.md#" >}})
## Types of Analog to Digital Converters {#types-of-analog-to-digital-converters}
<https://dewesoft.com/daq/types-of-adc-converters>
- Delta Sigma ([Baker 2011](#org60f0e22))
- Delta Sigma ([Baker 2011](#orgbdb61af))
- Successive Approximation
@@ -32,9 +33,9 @@ Let's suppose that the ADC is ideal and the only noise comes from the quantizati
Interestingly, the noise amplitude is uniformly distributed.
The quantization noise can take a value between \\(\pm q/2\\), and the probability density function is constant in this range (i.e., its a uniform distribution).
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](#orgee08810)).
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](#org4bd731c)).
<a id="orgee08810"></a>
<a id="org4bd731c"></a>
{{< figure src="/ox-hugo/probability_density_function_adc.png" caption="Figure 1: Probability density function \\(p(e)\\) of the ADC error \\(e\\)" >}}
@@ -89,4 +90,4 @@ The quantization is:
## Bibliography {#bibliography}
<a id="org60f0e22"></a>Baker, Bonnie. 2011. “How Delta-Sigma Adcs Work, Part.” _Analog Applications_ 7.
<a id="orgbdb61af"></a>Baker, Bonnie. 2011. “How Delta-Sigma Adcs Work, Part.” _Analog Applications_ 7.