Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Department of Electrical Engineering (25)
- Department of Mechanical and Materials Engineering (6)
- Electrical Engineering (6)
- Electrical engineering (5)
- CFD (2)
-
- Game theory (2)
- Legged robots (2)
- Mechanical engineering (2)
- Optimization using SPSA (2)
- Photovoltaic (2)
- 90nm CMOS (1)
- Aerospace Engineering (1)
- Airfoil S818 (1)
- All One Polynomials (1)
- Analog (1)
- Analogue (1)
- Analytical Equations (1)
- Audio (1)
- Audio Signal Processing (1)
- Bayesian Compressive Sensing (1)
- Bistatic Radar (1)
- CMOS (1)
- Calibration (1)
- Carrier Densities (1)
- Compressive Sensing (1)
- Computer engineering (1)
- Constant Fraction Discriminator (1)
- Controllable Bandwidth (1)
- Cross Flow Water Turbine (1)
- Current Densities (1)
Articles 31 - 33 of 33
Full-Text Articles in Engineering
Layout Implementation Of A 10-Bit 1.2 Gs/S Digital-To-Analog Converter In 90nm Cmos, Vinay Kumar Chunchu
Layout Implementation Of A 10-Bit 1.2 Gs/S Digital-To-Analog Converter In 90nm Cmos, Vinay Kumar Chunchu
Browse all Theses and Dissertations
Digital-to-analog converters are the interface circuits between digital and analog domains. They are used in data communication applications and different sorts of applications where transformation amongst digital and analog signals is needed. High-speed data converters are needed to match the bandwidth demands of the present-day communication systems. This thesis presents the layout implementation of a 10-bit current steering DAC with a sampling rate of about 1.2 GS/s using CMOS 90 nm technology. Current steering DAC topology is used in high-speed applications. The DAC in this thesis is designed using a segmented architecture in which 4 LSB current cells are binary …
Calibration Models And System Development For Compressive Sensing With Micromirror Arrays, Rebecca L. Profeta
Calibration Models And System Development For Compressive Sensing With Micromirror Arrays, Rebecca L. Profeta
Browse all Theses and Dissertations
Compressive sensing (CS) is an active research field focused on finding solutions to sparse linear inverse problems, i.e. estimating a signal using fewer linear measurements than there are unknowns. The assumption of signal sparsity makes solutions to this otherwise ill-posed problem possible and has lead to a number of technological innovations such as smaller and less expensive cameras that capture high resolution imagery, low-power radar systems, and accelerated MRI scanners. In this thesis, we present the development of a hardware CS imaging system using a Digital Micromirror Device (DMD) providing spatial light modulation via an array of micromirrors that can …
Sv-Means: A Fast One-Class Support Vector Machine-Based Level Set Estimator, Anne M. Pavy
Sv-Means: A Fast One-Class Support Vector Machine-Based Level Set Estimator, Anne M. Pavy
Browse all Theses and Dissertations
In this dissertation, a novel algorithm, SV-Means, is developed motivated by the many functions needed to perform radar waveform classification in an evolving, contested environment. Important functions include the ability to: reject classes not in the library, provide confidence in the classification decision, adapt the decision boundary on-the-fly, discover new classes, and quickly add new classes to the library. The SV-Means approach addresses these functions by providing a fast algorithm that can be used for anomaly detection, density estimation, open set classification, and clustering, within a Bayesian generative framework. The SV-Means algorithm extends the quantile one-class support vector machine (q-OCSVM) …