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

The Data Science Lab Convolutional Neural Networks for MNIST Data Using PyTorch Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural ...

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

Convolutional codes, on the other hand, work on streams of data with more arbitrary numbers of data/bits. These codes apply a sliding window method that provides a substantial decoding benefit.

You can implement FEC techniques for linear block codes (Reed-Solomon codecs) and convolutional codes (Viterbi codecs). To understand this general implementation, look at the hardware behind these ...

Parallel, concatenated, convolutional turbo codes promised an exciting breakthrough in error-correction-coding technology but still had problems (see sidebar “ ECC goes turbo “). The first problem was ...