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 ...
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, ...
Please provide your email address to receive an email when new articles are posted on . Specificity and accuracy rates were higher among convolutional neural networks (CNNs). Dermatologists with fewer ...
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 ...
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 ...
Please provide your email address to receive an email when new articles are posted on . LAS VEGAS – A trained convolutional neural network detected key cholangioscopy image features suggestive of ...
In this paper, the authors proposed a fully convolutional neural network architecture for biomedical image segmentation which overcame the limitations of the contemporary algorithms. Unlike other ...
This is a fully compatible 3GPP (UMTS and LTE) and 3GPP2 cdma2000 (1xEV-DV Release D and 1xEV-DO Release B) error control decoder. The decoder can be used to decode ...
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