Wireless Communication Using Deep Learning Techniques For Neuromorphic VLSI Computing
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Wireless Communication Using Deep Learning Techniques For Neuromorphic VLSI Computing
El-Khatib, Ziad; Moussa, Sherif
Springer International Publishing AG
11/2024
150
Dura
9783031737992
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Introduction.- Deep Learning Techniques for Wireless Communication Systems.- Radio Modulation Classification Optimization Using Combinatorial Deep Learning Technique.- Modulation Classification Performance Simulation Results.- Spiking Neural Networks Neuromorphic Computational System.- A Silicon Synapse with an Adaptive CMOS Neuron For Neuromorphic Computing.- Adaptive Quadratic Integrate-and-Fire CMOS Neuron Performance.- Conclusion.
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Deep Learning Techniques;Wireless Communication Systems;Long Short Term Memory;Higher Order Cumulant;Signal to Noise Ratio
Introduction.- Deep Learning Techniques for Wireless Communication Systems.- Radio Modulation Classification Optimization Using Combinatorial Deep Learning Technique.- Modulation Classification Performance Simulation Results.- Spiking Neural Networks Neuromorphic Computational System.- A Silicon Synapse with an Adaptive CMOS Neuron For Neuromorphic Computing.- Adaptive Quadratic Integrate-and-Fire CMOS Neuron Performance.- Conclusion.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
