AIM Laboratory Research
 



Micro-data mining

With advances in fabrication technology, an ever increasing number of sensors can now be integrated within a single package. Examples of some of these sensors include microelectrode arrays and microphone arrays. In a classical data acquisition paradigm each sensor channel is treated independently in regards to analog-to-digital conversion and any intelligent processing is delegated to a backend digital signal processor. However, in micro/nano-scale high-density sensor arrays, the detrimental effect of finite resolution on signal processing cannot be ignored. Our aim is to explore techniques for integrating machine learning algorithms directly with analog-to-digital conversion,   


Course Syllabus

Textbook Analog Integrated Circuit Design by D.A. Johns and K. Martin (John Wiley and Sons 1997) .


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Lecture slides and Handouts

Examples and notes

Cadence Tutorials and User Guide

      More details can be found at http://www.egr.msu.edu/classes/ece418/mason

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