Essays about: "convolutional code"
Showing result 1 - 5 of 43 essays containing the words convolutional code.
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1. Deep Neural Networks as SurrogateModels for Fuel Performance Codes
University essay from Uppsala universitet/Tillämpad kärnfysikAbstract : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. READ MORE
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2. Facial recognition techniques comparison for in-field applications : Database setup and environmental influence of the access control
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : A currently ongoing project at Stanley Security is to develop a facial recognition system as access control system to prevent theft of heavy vehicles for terrorist purposes. As of today, there are several providers of facial recognition techniques and the spectrum ranges from multi dollar licenses to easy access open source. READ MORE
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3. Polar Codes for Biometric Identification Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Biometrics are widely used in identification systems, such as face, fingerprint, iris, etc. Polar code is the only code that can be strictly proved to achieve channel capacity, and it has been proved to be optimal for channel and source coding. READ MORE
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4. Faster than Nyquist Signaling with Spatial Coupling
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The emergence of the Faster-Than-Nyquist signaling (FTN) technology has im- proved the tight spectrum resources by compressing the transmission interval between adjacent pulses. In a natural environment, data transmission via a wire- less medium and through multi-path, at a high data rate, the leakage of these paths among symbols can cause severe inter-symbol interference (ISI). READ MORE
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5. Quantum Error Correction Using Graph Neural Networks
University essay from Göteborgs universitet / Institutionen för fysikAbstract : A graph neural network (GNN) is constructed and trained with a purpose of using it as a quantum error correction decoder for depolarized noise on the surface code. Since associating syndromes on the surface code with graphs instead of grid-like data seemed promising, a previous decoder based on the Markov Chain Monte Carlo method was used to generate data to create graphs. READ MORE