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 ...

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

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 ...

You must be registered with the D&R website to view the full search results, including: Complete datasheets for rate 1 3 802 16d turbo convolutional code encoder decoder products Contact information ...

Zhu RC, Wang JF, Qiu TS, Yang DK, Feng B et al. Direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional neural network.

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 ...

In addition to compressing video in as few bits as possible, the challenge of video encoding is to perform compression to provide the best possible viewing experience.