Essays about: "Complex Error Function"
Showing result 16 - 20 of 43 essays containing the words Complex Error Function.
-
16. A design of a 100 MS/s, 8-bit Pipelined ADC in CMOS
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The thesis focuses on designing and simulating an 8-bit high-speed fully differential pipelined Analog to Digital Converter (ADC) in the 65nm Complementary Metal-Oxide-Semiconductor (CMOS) technology by using the software Cadence Virtuoso. The aim is to increase the operation speed of the ADC for communication systems without reducing the performance, in the meantime, the low power consumption and the low complexity should also be required when considering future implementation. READ MORE
-
17. Machine Learning for FMCW Radar Interference Mitigation
University essay from Lunds universitet/Matematisk statistikAbstract : Frequency Modulated Continuous Wave radar is used for object detection and localization, e.g., for surveillance purposes or for automotive systems. The amount of radars is increasing, which leads to an increasing amount of radar interference. READ MORE
-
18. Automatic Test Machine for Rebreather : Breathing patterns simulations of dosage regulators at depths down to 120m in water
University essay from KTH/Industriell produktionAbstract : Product performance and quality assurance are two critical steps in competitive product development. Especially important when developing life enabling products such as breathing equipment for smoke- and water diving as the company Interspiro. READ MORE
-
19. Neural Networks and Uncertainty Estimation for Financial Asset Predictions
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the capability of modeling complex non-linear mappings, neural networks have obtained state-of-the-art performance on various tasks. However, traditional neural networks are prone to overfitting as they tend to be overconfident on unseen, noisy and incorrectly labeled data. Neither do they produce meaningful representations of uncertainty. READ MORE
-
20. Portfolio Performance Optimization Using Multivariate Time Series Volatilities Processed With Deep Layering LSTM Neurons and Markowitz
University essay from KTH/Matematisk statistikAbstract : The stock market is a non-linear field, but many of the best-known portfolio optimization algorithms are based on linear models. In recent years, the rapid development of machine learning has produced flexible models capable of complex pattern recognition. READ MORE
