Soft-input/soft-output symbol decoding plays a significant role in iterative decoding. We propose a simple optimal soft-input/soft-output symbol decoding algorithm for linear block codes which ...

Encoder compresses the N-dimensional input (e.g. a frame of sensor data) into an x-dimensional code (where x < N), which contains most of the information carried in the input, but with fewer data.

Dot Physics. Python Physics; Building a Linear Regression Function in VPython. Posted: June 3, 2025 | Last updated: June 14, 2025. Physics and Python stuff.

This project implements a system for detecting anomalies in time series data collected from Prometheus. It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn ...

In the cloud-edge collaboration system, logs help developers diagnose system failures, and make abnormal diagnosis decisions as soon as possible for edge devices with a low tolerance for failure ...

In this video, we will learn what is linear regression in machine learning along with examples to make the concept crystal clear. Learn With Jay.