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) .
Announcements
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
Other Useful Links and Tutorials