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What is VLSI Neural Networks for Signal Processing about?

This dissertation explores the integration of neural networks in VLSI circuits to enhance signal processing, demonstrating significant improvements in signal-to-noise ratio, latency, and energy efficiency compared to traditional digital signal processing methods. The study highlights the adaptability and accuracy of neural networks in handling complex, non-linear signals, making them a promising alternative for advanced signal processing applications. Overall, the findings suggest that neural network-based

Author

Viveka Chauhan

Language

EN