Accuracy of Error Correction Code and Regression Analysis within a Python Software
In collaboration with Moog Broad Reach and Arizona State University, a<br/>team of five undergraduate students designed a hardware design solution for<br/>protecting flash memory data in a spaced-based radioactive environment. Team<br/>Aegis have been working on the research, design, and implementation of a<br/>Verilog- and Python-based error correction code using a Reed-Solomon method<br/>to identify bit changes of error code. For an additional senior design project, a<br/>Python code was implemented that runs statistical analysis to identify whether<br/>the error correction code is more effective than a triple-redundancy check as well<br/>as determining if the presence of errors can be modeled by a regression model.
- Author (aut): Salls, Demetra Helen
- Thesis director: Kozicki, Michael
- Committee member: Hodge, Chris
- Contributor (ctb): Electrical Engineering Program
- Contributor (ctb): Electrical Engineering Program
- Contributor (ctb): School of Mathematical and Statistical Sciences
- Contributor (ctb): Barrett, The Honors College