As the convolutional encoder is half rate (R = 1/2) it produces twice as many symbol bits as input bits, therefore for a 6-bit input we expect a 12-bit output. However, when you provide more than 12 ...

In this paper, a modified FPGA scheme for the convolutional encoder and Viterbi decoder based on the IEEE 802.11a standards of WLAN is presented in OFDM baseband processing systems. The proposed ...

FusedHE is a deep learning model designed to estimate height information from single (monoscopic) satellite images. By integrating convolutional neural networks (CNNs) with Vision Transformer (ViT) ...

Abstract: Disease is one of the main factors affecting crop growth. How to reflect the external morphological features of the disease and completely retain the color and texture information of the ...

Automatic and accurate segmentation of medical images plays an essential role in disease diagnosis and treatment planning. Convolution neural networks have achieved remarkable results in medical image ...

Abstract: Quantam-dot cellular automata is a promising nano electronic computational architecture which can be used to process binary information. It performs binary operation using single electrons ...

A website called 'Animated AI' has been published that uses animation to explain 'Convolutional Neural Networks (CNN),' a technology widely used in the field of machine learning. The website visually ...

Department of Communication Engineering, Hefei University of Technology, Hefei, China. In this paper, a modified FPGA scheme for the convolutional encoder and Viterbi decoder based on the IEEE 802.11a ...