Convolutional codes represent a cornerstone in modern communications, offering a method for continuously encoding data streams to mitigate errors due to interference and noise. These codes operate ...

What does convolutional code actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

Random Linear Network Coding (RLNC) currently attracts a lot of attention as a technique to disseminate information in a network. In this contribution, ...

LONDON — In a development that could boost channel coding efficiency of wireless communication standards, researchers at the Interuniversities Microelectronics Center (Leuven, Belgium) say they have ...

We present a method for conditional time series forecasting based on an adaptation of the recent deep convolutional WaveNet architecture. The proposed network contains stacks of dilated convolutions ...

ML in video coding Motion compensation is one of the crucial video compression concepts and can be successfully improved by using ML architectures based on deep CNNs. However, CNN approaches ...

Catalog : EECE.5480 Coding and Information Theory (Formerly 16.548) EECE.5480 — Graduate Id: 003293 Offering: 1 Credits: 3-3 Description Probabilistic measure of information. Introduction to ...

Convolutional Neural Networks (CNN) are mainly used for image recognition. The fact that the input is assumed to be an image enables an architecture to be created such that certain properties can be ...