Engineering Commons^™

Discrepancy-Based Analysis Of Measurement Sampling Points In Compressive Sensing, Felipe Batista Da Silva

Open Access Theses & Dissertations

Compressive sensing (CS) is a technique in signal processing that under certain conditions allows someone to reconstruct sparse signals from fewer linear measurements. A problem in CS is modeled in terms of an underdetermined linear system, whose associated matrix is previously designed. Then, it is of interest in CS to know what a good sampling defined by the sensing matrix is and how to measure it. In this work, we provided analytical proofs of properties of the metric discrepancy that allow us to propose a fast algorithm for discrepancy calculation. Such metric measures the quality of the sampling measurement points …

Use Of Cosine Modulated Filter Bank To Quantify Human Muscle Fatigue Using Electromyography Signals Obtained During Isometric Voluntary Contractions, Liza Stephanie Rodriguez

Open Access Theses & Dissertations

As technology continues to advance, there continues to be an interest in applying engineering theories to solve medical problems. Technology has allowed researchers to investigate the properties and characteristics of the human body in hopes of emulating their complexities. The rising interest in the study of biopotentials for use in prosthetic limbs, exoskeletons and machine interfacing has led to a necessity to validate that the understanding of these signals is accurate. The study of biopotentials generated by muscles via a method known as electromyography (EMG) has improved the understanding of effects of rehabilitative treatments, assisted in diagnosing diseases, control of …

2d Gaussian Object Motion Detection, Miguel Angel Chaidez

Open Access Theses & Dissertations

Dr. John Moya, and associated research assistants, have previously created an image-change recognition algorithm (JESSE) to mark changes within an image. The focus of this thesis is to present a physical application and modification of this algorithm in order to detect a surgeon's hand and verify chip placement on a printed circuit board.

There are different techniques in implementing visual recognition and motion detection with smart systems but the high cost and complicated calibration of these systems make them impractical. The goal was to create a system that is simple, inexpensive and applicable to multiple applications that will allow the …