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Maximum Entropy Surrogation in Multiple Channel Signal Detection

Description
Multiple-channel detection is considered in the context of a sensor network where data can be exchanged directly between sensor nodes that share a common edge in the network graph. Optimal statistical tests used for signal source detection with multiple noisy sensors, such as the Generalized Coherence (GC) estimate, use pairwise…

Multiple-channel detection is considered in the context of a sensor network where data can be exchanged directly between sensor nodes that share a common edge in the network graph. Optimal statistical tests used for signal source detection with multiple noisy sensors, such as the Generalized Coherence (GC) estimate, use pairwise measurements from every pair of sensors in the network and are thus only applicable when the network graph is completely connected, or when data are accumulated at a common fusion center. This thesis presents and exploits a new method that uses maximum-entropy techniques to estimate measurements between pairs of sensors that are not in direct communication, thereby enabling the use of the GC estimate in incompletely connected sensor networks. The research in this thesis culminates in a main conjecture supported by statistical tests regarding the topology of the incomplete network graphs.
ContributorsCrider, Lauren Nicole (Author) / Cochran, Douglas (Thesis director) / Renaut, Rosemary (Committee member) / Kosut, Oliver (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2014-05
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Audio Waveform Sample SVD Compression and Impact on Performance

Description

Lossy compression is a form of compression that slightly degrades a signal in ways that are ideally not detectable to the human ear. This is opposite to lossless compression, in which the sample is not degraded at all. While lossless compression may seem like the best option, lossy compression, which…

Lossy compression is a form of compression that slightly degrades a signal in ways that are ideally not detectable to the human ear. This is opposite to lossless compression, in which the sample is not degraded at all. While lossless compression may seem like the best option, lossy compression, which is used in most audio and video, reduces transmission time and results in much smaller file sizes. However, this compression can affect quality if it goes too far. The more compression there is on a waveform, the more degradation there is, and once a file is lossy compressed, this process is not reversible. This project will observe the degradation of an audio signal after the application of Singular Value Decomposition compression, a lossy compression that eliminates singular values from a signal’s matrix.
ContributorsHirte, Amanda (Author) / Kosut, Oliver (Thesis director) / Bliss, Daniel (Committee member) / Electrical Engineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05

Ourada_Fall_2022_1.pdf

Description
Superstition is an urban fantasy fiction anthology podcast. Each episode follows a new pair of characters, revealing the supernatural community hidden within the southwest suburb of Superstition. In Superstition, vampires, werewolves and magic have made their home among chain restaurants and malls, neighborhood parks and massive parking lots. In recent…

Superstition is an urban fantasy fiction anthology podcast. Each episode follows a new pair of characters, revealing the supernatural community hidden within the southwest suburb of Superstition. In Superstition, vampires, werewolves and magic have made their home among chain restaurants and malls, neighborhood parks and massive parking lots. In recent weeks, both human and supernatural have gone missing and everyone has a different belief in who and why this is happening. Some simply want life to be as quiet and calm as they remember it to be and other will take matters into their own hands to protect their home. “Thicker than Water” follows two vampire sisters, one of which is in the midst of running for Superstition City Council and the other who has decided to take the future and safety of their community into her own hands in the form of Superstition's first vampire coven. The two disagree about how they should be leading Superstition and reflection on their shared trauma leads to high tensions and questioned trust.
ContributorsOurada, Kaitlyn (Author) / Amparano Garcia, Julie (Thesis director) / Murphy, Karla (Committee member) / Barrett, The Honors College (Contributor) / Walter Cronkite School of Journalism and Mass Comm (Contributor)
Created2022-12