bibliography: => #+BIBLIOGRAPHY: here

content/zettels/analog_to_digital_converters.md

@@ -1,6 +1,7 @@
 +++
 title = "Analog to Digital Converters"
 author = ["Thomas Dehaeze"]
+keywords = ["electronics"]
 draft = false
 +++
 
@@ -12,7 +13,7 @@ Tags
 
 <https://dewesoft.com/daq/types-of-adc-converters>
 
--   Delta Sigma ([Baker 2011](#orgb22f10b))
+-   Delta Sigma ([Baker 2011](#org60f0e22))
 -   Successive Approximation
 
 
@@ -31,9 +32,9 @@ 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., it’s 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](#org57805de)).
+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)).
 
-<a id="org57805de"></a>
+<a id="orgee08810"></a>
 
 {{< figure src="/ox-hugo/probability_density_function_adc.png" caption="Figure 1: Probability density function \\(p(e)\\) of the ADC error \\(e\\)" >}}
 
@@ -88,4 +89,4 @@ The quantization is:
 
 ## Bibliography {#bibliography}
 
-<a id="orgb22f10b"></a>Baker, Bonnie. 2011. “How Delta-Sigma Adcs Work, Part.” _Analog Applications_ 7.
+<a id="org60f0e22"></a>Baker, Bonnie. 2011. “How Delta-Sigma Adcs Work, Part.” _Analog Applications_ 7.