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Full-Text Articles in Engineering
Using Principle Component Analysis Of Spectral Mixtures To Analyze Tertiary And Four End-Member Mixtures Containing Carbonates And Olivine, David Burnett
Pence-Boyce STEM Student Scholarship
CRISM images from Mars are expected to contain carbonates such as magnesite [1]. Prior research has been successfully able to determine the approximate percent composition of phyllosilicates in binary lab mixtures using Principle Component Analysis (PCA) [2]. In order to expand this model to work on CRISM images, one of preliminary steps is allowing the algorithm to work on mixtures with more than two components.
Vocal Processing With Spectral Analysis, Brad Fitzgerald
Vocal Processing With Spectral Analysis, Brad Fitzgerald
Scholar Week 2016 - present
A method of vocal signal processing was examined to determine if principal component analysis of spectral data may be used to characterize differences between speakers and if these differences may be used to separate mixtures of vocal signals. Processing was done on a set of voice recordings from 30 different speakers in order to create a projection matrix which could be used by an algorithm to identify the source of an unknown recording from one of the 30 speakers. Two different identification algorithms were tested, both of which were generally unable to correctly identify the source of a single vocal …