Convolutional encoding is a process of adding redundancy to a signal stream. Lattice's Convolutional Encoder core is a parameterizable core for convolutional encoding of a continuous input data stream ...

In this first in a series on convolutional neural networks (CNNs), we discuss the advantages of CNNs vs. classic linear programming describe the CNN ...

On the encoder side, the channel coder is controlled by the source significance information (SSI) from the source coder, which improves the overall encoding efficiency through joint source-channel ...

Dr. James McCaffrey of Microsoft Research details the 'Hello World' of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset.

EECE.5480 — Online and Continuing Education Id: 003293 Offering: 2 Credits: 3-3 Description Probabilistic measure of information. Introduction to compression algorithms including L-Z, MPEG, JPEG, and ...

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory ...

Article Title Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction ...