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 ...

Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of 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 ...

Huawei, a major Chinese technology company, has announced Sinkhorn-Normalized Quantization (SINQ), a quantization technique that enables large-scale language models (LLMs) to run on consumer-grade ...