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 by ...
(1) A type of AI architecture. See convolutional neural network. (2) A type of forward error correction (FEC) in communications. See channel coding. THIS DEFINITION ...
Machine learning (ML) is a subset of artificial intelligence (AI) techniques that have shown great potential in solving challenging tasks in multimedia content processing. In the BBC Research & ...
Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...
In recent years, the field of computer vision has witnessed a remarkable transformation with the introduction of Convolutional Neural Networks (CNNs). These deep learning models have revolutionised ...
The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. A subsequent article, ...
A new publication from Opto-Electronic Sciences; DOI 10.29026/oea.2025.240135, discusses how quasi-convolution coding empowers a streamlined reservoir computer. As the pace of digitalization ...
Polar codes are a channel coding technology and all channel coding technology works in basically a quite similar way. Communication links are susceptible to errors due to random noise, interference, ...
Communication-system designers have always had to deal with trade-offs among data reliability, efficient use of available spectrum, data throughput, and cost. Error-correction coding (ECC) is one of ...
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