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Scalability, Density, and Decision Making in Cognitive Wireless Networks by Preston Marshall

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Appendix C Mathematica and MATLAB routines

This appendix provides the Mathematica and MATLAB code that was used to develop many of the graphs, or to provide the derivations within the text. Material is indexed by chapter, and then figure and/or equation number.

Chapter 2 – Binary Entropy of a Random Function (Mathematica)

Plot [y = − (x Log [2, x]+ (1 − x) Log [2, (1 − x)]), {x, 0, 1}, AxesLabel −> {r, Binary Entropy [r]}]

Chapter 2 – Multi-Tone Response (MATLAB)

Chapter 15 – Dempster–Schafer Theory (DST) Belief Handling (MATLAB)

This code ...

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