资讯

Nature3月

Convolutional Codes and Decoding Algorithms

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 ...
PC Magazine6 年

convolutional code

(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 ...
TechRepublic3 年

Rank Metric Convolutional Codes for Random Linear Network Coding

Random Linear Network Coding (RLNC) currently attracts a lot of attention as a technique to disseminate information in a network. In this contribution, non-coherent multi-shot RLNC is considered, that ...
Hackaday9 年

Error Detection And Correction: Reed-Solomon, Convolution And Trellis Diagrams

Convolutional Codes Convolutional codes work on the bits in a stream. They can be specified with three parameters similar to a block code specification. A {7, 3, 3} code adds 7 bits to the output ...
Semiconductor Engineering5 年

Convolutional Neural Network (CNN)

Convolutional Neural Networks (CNN) are mainly used for image recognition. The fact that the input is assumed to be an image enables an architecture to be created such that certain properties can be ...
JSTOR Daily1 年

Time Series Models with Univariate Margins in the Convolution-Closed Infinitely Divisible Class

This is a preview. Log in through your library . Abstract A unified way of obtaining stationary time series models with the univariate margins in the convolution-closed infinitely divisible class is ...