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M

M.W. Baker

Researcher at Massachusetts Institute of Technology

Publications -  24
Citations -  1280

M.W. Baker is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Digital control & Micropower. The author has an hindex of 15, co-authored 24 publications receiving 1240 citations. Previous affiliations of M.W. Baker include University of Toronto.

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Journal ArticleDOI

Feedback Analysis and Design of RF Power Links for Low-Power Bionic Systems

TL;DR: This paper presents a feedback-loop technique for analyzing and designing RF power links for transcutaneous bionic systems, i.e., between an external RF coil and an internal RF coil implanted inside the body, and proposes an optimal loading condition that maximizes the energy efficiency of the link.
Journal ArticleDOI

An ultra-low-power programmable analog bionic ear processor

TL;DR: A programmable analog bionic ear (cochlear implant) processor in a 1.5-/spl mu/m BiCMOS technology with a power consumption that is lower than state-of-the-art analog-to-digital (A/D)-then-DSP designs by a factor of 25 and robust operation of the processor in the high-RF-noise environment typical of cochlear implants systems.
Journal ArticleDOI

Low-Power Circuits for Brain–Machine Interfaces

TL;DR: This paper presents work on ultra-low-power circuits for brain–machine interfaces with applications for paralysis prosthetics, stroke, Parkinson's disease, epilepsy, prosthetics for the blind, and experimental neuroscience systems.
Journal ArticleDOI

A low-power wide dynamic range envelope detector

TL;DR: In this article, a 75-dB 2.8-/spl mu/W 100-Hz-10-kHz envelope detector was proposed for low-power bionic implants for the deaf, hearing aids, and speech recognition front-ends.
Proceedings ArticleDOI

An analog bionic ear processor with zero-crossing detection

TL;DR: In this article, a 75 dB 251 /spl mu/W analog speech processor is described that preserves the performance, robustness, and programmability needed for deaf patients at a reduced power consumption compared to that of implementations with A/D and DSP.