Essays about: "convolutional codes"
Showing result 1 - 5 of 19 essays containing the words convolutional codes.
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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. 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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3. 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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4. Temporal Convolutional Networks in Lieu of Fuel Performance Codes : Conceptual Study Using a Cladding Oxidation Model
University essay from Uppsala universitet/Tillämpad kärnfysikAbstract : Fuel performance codes are used to demonstrate with confidencethat nuclear fuel rods will sustain normal operation and transientevents without being damaged. However, the execution time of a typ-ical fuel rod simulation ranges from tens of seconds to minutes which can be impractical in certain applications. READ MORE
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5. A Study on Efficient Memory Utilization in Machine Learning and Memory Intensive Systems
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : As neural networks find more and more practical applications targeted for edge devices, the implementation of energy-efficient architectures is becoming very crucial. Despite the advancements in process technology, power and performance of memories remain to be a bottleneck for most computing platforms. READ MORE