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Adaptive Integrated Microsystems Laboratory

"Pushing the Limits of Hybrid Signal Processing"

Our research explores new frontiers in non-conventional signal processing techniques using CMOS and hybrid substrates. These include approaching limits of energy efficiency, sensing and resolution by exploiting computational primitives inherent in the physics of devices, sensors and the underlying noise processes and adaptation.

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  Mixed-signal Processing
  Recent News
  • Nov 2012: Gu's FAST based biosensor simulation paper to appear in IEEE Transactions of Biomedical Circuits and Systems.
  • Oct 2012: Sarkar's Self-powered Strain-gauge paper to appear in IEEE Transactions of Biomedical Circuits and Systems.
  • Sep 2012: Aono's Jump-Resonance based Speaker Recognition paper to appear in IEEE Transactions of Biomedical Circuits and Systems.
  • Aug 2012: Gu's Temperature Compensation Technique of Floating-gate current memories to appear in IEEE Journal of Solid-state Circuits.
  • May 2012: Sarkar's Self-powered Strain-gauge paper receives honorary mention at the IEEE ISCAS 2012, South Korea.
  • Apr 2012: AIMLab's Self-powered Sensor awarded the 2012 Innovation of the Year Award
  • Dec 2011: Fazel's SPARK speech feature extractor to appear in IEEE Transactions of Audio, Speech and Language Processing
  • Nov 2011: Two new US patents: 8,060,810 and 8,056,420 issued to Chakrabartty
  • Oct 2011: Huang's piezo-floating-gate sensor IC paper to appear in IEEE Journal of Solid-state Circuits.
  • June 2011:Gu's Analog LDPC paper published in IEEE Journal of Solid-state Circuits.
  • Feb2011: Chakrabartty awarded MSU Teacher-Scholar Award.

 Self-powered Signal Processing

Bias-scalable Analog Signal Processing
biosensor
 Bio-silicon Hybrid Computing

microphone

Bio-inspired Signal Processing 
adc Floating-gate and Nanowatt Signal Processing 

KLPC

 Machine Learning algorithms

Questions and comments: shantanu at msu dot edu