Abstract: In this paper, a novel decomposition representation is firstly proposed to transform a recursive convolutional code into the serial concatenation of a unit-recursive-convolutional (URC) code ...

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 ...

-- and systematic (the input bit stream is replicated as one of the output). -- Our generator's rate is 1/2 and the system implements the relationship ...

In cognitive-radio and dynamic-spectrum-access systems, secondary users share licensed bands opportunistically to boost spectral efficiency. This sharing is only possible if the radios can ...

Abstract: Construction of high-performance spatially coupled codes has received considerable attention recently. This paper presents a new construction of spatially coupled convolutional codes (SC-CC) ...

Convolutional Neural Network In Deep Learning: Deep learning has transformed artificial intelligence, enabling computers to analyze data and make decisions with remarkable accuracy. One of the most ...

Climate change affects plant growth, food production, ecosystems, sustainable socio-economic development, and human health. The different artificial intelligence models are proposed to simulate ...

(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 ...

The Convolutional Turbo Code hardware implementation meets the Wireless MAN OFDMA PHY CTC encoder specification of the IEEE 802.16e standard.

1 Department of Computer Engineering, School of Engineering, The University of Jordan, Amman, Jordan. 2 Department of Data Science and Artificial Intelligence, Faculty of Information Technology, ...