Essays about: "advancement in signal processing"
Showing result 1 - 5 of 11 essays containing the words advancement in signal processing.
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1. Full Duplex for Joint Communication and Sensing in 6G.
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: 6G mobile communication is one of the fastest-growing fields of technology. The present 5G mobile networks will not be adequate to meet society’s wireless connectivity demand in the near to mid-term future. A new generation of wireless mobile networks has to be developed to address this demand. READ MORE
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2. Camera ISP optimization for computer vision tasks performed by deep neural networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis aims to improve the performance of Deep Neural Networkss (DNNs) in Computer Vision tasks by optimizing the Image Signal Processor (ISP) parameters. The research investigates the use of simulated RAW images and the application of the DRL-ISP (Deep Reinforcement Learning for Image Signal Processor) method to enhance the accuracy and robustness of DNNs. READ MORE
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3. A Study on Data-driven Methods for Selection and Evaluation of Beam Subsets in 5G NR
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : 5G New Radio is the next generation of mobile networks and it comes with promises of ultra-high speeds, ultra-high reliability and ultra-low latency. This has posed a challenge for the engineers entrusted with the task of finding solutions which could fulfil the specification, and as a result, some promising areas have received increased attention in recent years. READ MORE
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4. Musical Instrument Recognition using the Scattering Transform
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Thanks to the advancement of technological progress in networking and signal processing, we can access a large amount of musical content. In order for users to search among these vast catalogs, they need to have access to music-related information beyond the pure digital music file. READ MORE
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5. Developing a spiking neural model of Long Short-Term Memory architectures
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/FörbränningsfysikAbstract : Current advances in Deep Learning have shown significant improvements in common Machine Learning applications such as image, speech and text recognition. Specifically, in order to process time series, deep Neural Networks (NNs) with Long Short-Term Memory (LSTM) units are widely used in sequence recognition problems to store recent information and to use it for future predictions. READ MORE