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Massachusetts Institute of Technology

MICA workspace : a symbolic computational environment for signal analysis

Abstract

dc:description.abstract

With initiatives such as edX beginning to spread low-cost education through the world, a question has arisen. How can we provide hands-on experience at minimal cost? Virtual online experiments are not enough. To build science and engineering skill and intuition, students must set up and run experiments with their own hands. Measurement, Instrumentation, Control, and Actuation (MICA), is a system under development at the MIT BioInstrumentation Lab. The MICA system consists of low-cost hardware and software. The hardware is a set of small, instrumentation-grade sensors and actuators which communicate wirelessly with a miniature computer. This computer hosts a web service which a user can connect to in order to control the MICA hardware and analyze the data. This web-based environment is called MICA Workspace. MICA Workspace is a numeric and symbolic environment for signal analysis. The main component is a new symbolic mathematics engine. Some features of this engine include symbolic integration and differentiation, tensor manipulation with algorithms such as singular value decomposition, expression simplification, and optimal SI unit handling. This thesis is intended to map the terrain surrounding the construction of MICA Workspace, the software part of MICA. I do not describe techniques in detail when clear and precise sources exist elsewhere. Instead, I describe the purposes and limitations of such techniques, and provide references to technical sources.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Mechanical Engineering.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2013

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Spanbauer, Adam J. (Adam Jeffrey)
Advisor dc:contributor.advisor
  • Ian W. Hunter.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/81727
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/81727

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Spanbauer, Adam J. (Adam Jeffrey). MICA workspace : a symbolic computational environment for signal analysis. Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81727