A/D converter trends: Power dissipation, scaling and digitally assisted architectures
By Boris Murmann. IEEE Custom Integrated Circuits Conference, 2008
311 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/0aecec69d8fef357e5b7227f821098ef017dc711
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Electrical and Electronic Engineering
- Vladimir Marko Stojanovic
- Fred Chen
- Anantha P. Chandrakasan
- Boris Murmann
- Lin Zhong
- Massimo Alioto
- Mohamed F. Younis
- Xuxun Liu
Citations in the corpus
- RedEye: Analog ConvNet Image Sensor Architecture for Continuous Mobile Vision (2016, background): “That is, energy consumption of analog circuits can be reduced by allowing a higher noise level [10], [11].”
- Design and Analysis of a Hardware-Efficient Compressed Sensing Architecture for Data Compression in Wireless Sensors (2012, methodology): “In subsequent analysis, the FOM used to show tradeoffs is 100 fJ/conversion step, which is consistent with the general performance of modern ADCs over a wide range of resolutions and sampling speeds [22].”
- The Race for the Extra Decibel: A Brief Review of Current ADC Performance Trajectories (2015, background): “Recently, however, we have seen that moderate- to high-resolution converters tend to follow a power quadrupling per effective bit, a trade-off that is consistent with noise-limited analog circuits [9].”
- A 10-bit Charge-Redistribution ADC Consuming 1.9 $\mu$W at 1 MS/s (2010, unknown): “energy efficiency [2].”