Abstract: A non-linearly spaced phase quantization utilizing the k-means clustering method has been presented in this paper. Phase quantization is usually performed to limit the number of unique unit ...

Abstract: One of the state-of-the-art direction of arrival (DOA) estimation techniques is formulated as a classification problem using deep learning. However, it inherently suffers from quantization ...

I trained a YOLOv11n model at 192x192 resolution and attempted to quantize it using PPQ with espdl_quantize_onnx. However, I encountered a runtime error during the ...

It’s a counterintuitive result that you might need to add noise to an input signal to get the full benefits from oversampling in analog to digital conversion. [Paul Allen] steps us through a simple ...

The sources of noise in a signal chain can be either internal or external. Managing noise in the signal chain requires meticulous examination of each circuit in the chain to minimize noise where ...

Large Language Models (LLMs) have demonstrated remarkable performance across various domains, surpassing human capabilities in tasks such as chatbot interactions, document summarization, and ...