|
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. |
|
Home Members Research Publications Patents Outreach AIM-Software |
|
|
Mixed-signal Processing |
AIM SPOTLIGHT ![]() (Gen-2 Self-powered PFG Chipset) |
Recent News
|
|
|
Self-powered Signal Processing | ||
|
|
Bias-scalable Analog Signal Processing | ||
![]() |
Bio-silicon Hybrid Computing | ||
|
|
Bio-inspired Signal Processing | ||
![]() |
Floating-gate and Nanowatt Signal Processing | ||
|
|
Machine Learning algorithms |
|
Questions and comments: shantanu at msu dot edu |