Essays about: "Gaussiskt brus"
Showing result 1 - 5 of 14 essays containing the words Gaussiskt brus.
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1. Time-based Key for Coverless Audio Steganography: A Proposed Behavioral Method to Increase Capacity
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Coverless steganography is a relatively unexplored area of steganography where the message is not embedded into a cover media. Instead the message is derived from one or several properties already existing in the carrier media. This renders steganalysis methods used for traditional steganography useless. READ MORE
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2. Fault Detection and Diagnosis for Automotive Camera using Unsupervised Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis aims to investigate a fault detection and diagnosis system for automotive cameras using unsupervised learning. 1) Can a front-looking wide-angle camera image dataset be created using Hardware-in-Loop (HIL) simulations? 2) Can an Adversarial Autoencoder (AAE) based unsupervised camera fault detection and diagnosis method be crafted for SPA2 Vehicle Control Unit (VCU) using an image dataset created using Hardware-inLoop? 3) Does using AAE surpass the performance of using Variational Autoencoder (VAE) for the unsupervised automotive camera fault diagnosis model? In the field of camera fault studies, automotive cameras stand out for its complex operational context, particularly in Advanced Driver-Assistance Systems (ADAS) applications. READ MORE
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3. Robust Graph SLAM in Challenging GNSS Environments Using Lidar Odometry
University essay from Linköpings universitet/ReglerteknikAbstract : Localization is a fundamental part of achieving fully autonomous vehicles. A localization system needs to constantly provide accurate information about the position of the vehicle and failure could lead to catastrophic consequences. READ MORE
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4. Improving deep learning assistedfar-field electromagnetic sidechannelattacks on AES : Effects on attack efficiency from using additive noise and otherdata augmentation techniques
University essay from KTH/MekatronikAbstract : Profiled side-channel attacks on hardware implemented cryptographic algorithms have been a well-researched topic for the past two decades and many countermeasures against these attacks have been proposed and adopted by the industry. Recently, a new form of far field EM side channel called "screaming channel attacks" have been highlighted. READ MORE
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5. The Impact of Noise on Generative and Discriminative Image Classifiers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This report analyzes the difference between discriminative and generative image classifiers when tested on noise. The generative classifier was a maximum-likelihood based classifier using a normalizing flow as the generative model. In this work, a coupling flow such as RealNVP was used. READ MORE