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Distortion Tolerant Source Code Using Viterbi Algorithm, Christopher Hankins May 2013

Distortion Tolerant Source Code Using Viterbi Algorithm, Christopher Hankins

Electrical Engineering Undergraduate Honors Theses

Convolutional codes are used in digital communication systems in order to protect information from distortion and increase system reliability. One of the most efficient methods for decoding convolutional codes is based on the Viterbi Algorithm. Considering the fundamental similarities between these channel codes and source codes, it is logical to postulate that the Viterbi Algorithm may also provide a basis for the implementation of an efficient lossy source code. In this thesis, the Viterbi Algorithm is used to used to compress digital data from a symmetric Bernoulli source. The Viterbi source code is simulated and shown to produce results which …


The Effect Of Platinum In Nafion For Proton Exchange Membrane Fuel Cells, Elliott Korb May 2013

The Effect Of Platinum In Nafion For Proton Exchange Membrane Fuel Cells, Elliott Korb

Electrical Engineering Undergraduate Honors Theses

Under the growing pressure to veer from fossil fuel use to more environmentally conscious energy options, fuel cells of all kinds are coming to the forefront as viable options to replace part of fossil fuels’ present role. This effort not only includes automobiles, but fuel cells are also emerging as options for emergency generators, modern war ships and submarines, portable charging devices, and space applications. Proton exchange membrane (PEM) fuel cells are likely to dominate the smaller or more domestic applications of fuel cell technology. For the membrane, DuPont’s polymer Nafion was used in varying sizes. Using small testing platforms …


Automated Behavioral Modeling Of Switching Voltage Regulators, Michael Leonard May 2013

Automated Behavioral Modeling Of Switching Voltage Regulators, Michael Leonard

Electrical Engineering Undergraduate Honors Theses

This work describes the development of a software tool that implements a novel method for automatically generating simulation ready behavioral models for switching circuits with an emphasis on power regulators. The work begins by examining the theory of operation of both linear and switching regulators. Then, the capability of two behavioral modeling languages (Verilog-A and PSPICE ABM) are examined in detail. Next, the languages previously discussed are used to develop and test a model of a commercial regulator (Texas Instruments TPS40305). Finally, the prospect of automating the process is discussed


Spice Netlist Generation For Electrical Parasitic Modeling Of Multi-Chip Power Module Designs, Peter Tucker May 2013

Spice Netlist Generation For Electrical Parasitic Modeling Of Multi-Chip Power Module Designs, Peter Tucker

Electrical Engineering Undergraduate Honors Theses

Multi-Chip Power Module (MCPM) designs are widely used in the area of power electronics to control multiple power semiconductor devices in a single package. The work described in this thesis is part of a larger ongoing project aimed at designing and implementing a computer aided drafting tool to assist in analysis and optimization of MCPM designs. This thesis work adds to the software tool the ability to export an electrical parasitic model of a power module layout into a SPICE format that can be run through an external SPICE circuit simulator. The code was implemented in python using NetworkX graphs …