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PhD thesis: Development of User-Friendly System Identification Techniques

TeX 92.78% MATLAB 6.41% Shell 0.33% Awk 0.48%
phd-thesis system-identification signal-processing matlab latex

phdthesis's Introduction

PhD thesis

This folder contains my PhD thesis.

Compilation

Compilation happens with arara using a custom configuration. Put

!config
paths:
 - .

in your arara configuration file (${HOME}/araraconfig.yaml) such that the configuration files in this repository are loaded. Afterwards, you should be able to run

arara phdthesis.tex

to fully compile the thesis. It is recommended to use a Unix-like system (Mac OS X or Linux), since Windows has not been tested at all.

Remark

Getting the compilation process started can be troublesome, since it heavily relies on temporary files being created. During a first compilation, it is possible that you get a slew of errors in pgfplots. Currently, the work-around for this is to:

  • remove all temp files (also .aux files in the subfolders, all contents of tikz folders, ...)
  • turn off morewrites if possible,
  • first compile every chapter by itself using the \includeonly at the top level,
  • once each chapter compiles on itself, you can try running the whole document.

I suspect the problems are due to many TikZ files being externalized but they still have to be parsed and it seems there might be a slight memory/resource leak. By compiling in smaller increments, that leak doesn't get triggered as easily.

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phdthesis's Issues

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