In this paper, we propose a quantizer design algorithm that is optimized for source localization in sensor networks. For this application, the goal is to minimize the amount of information that the ...

In-depth research has been done in the literature on applying sophisticated modulation and control systems for power converters, such as Feedback Quantizer and Predictive Control. This research aims ...

Hello, I am trying to create a quantized convolutional neural network using brevitas that has scaling factors equal to 1. However, I can't find how to set the scaling factor. This is the code I use ...

Hello If you run the code below, an error will occur. import torch from ultralytics import YOLO from pytorch_nndct.apis import torch_quantizer device = torch.device ...

We consider the quantization procedure and investigate the application of the quantizer–dequantizer method and star-product technique to construct associative products and the associative algebras ...

Thus, quantizer with optimized segment threshold is achieved. It is shown that by quantizer model designed in this way and proposed in this paper, the SQNR that is very close to SQNR of nonlinear ...

For the quantizer designed on the basis of approximative spline functions, segment threshold is numerically determined depending on maximal value of the signal to quantization noise ratio (SQNR). Thus ...