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, ...
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 ...
NATICK, Mass.--(BUSINESS WIRE)--MathWorks, the leading developer of mathematical computing software, today announced the availability of a hardware support package for the Qualcomm® Hexagon™ Neural ...
PDMATLAB2D is a meshfree peridynamics implementation in MATLAB suitable for simulation of two-dimensional fracture problems. The purpose of this code is twofold. First, it provides an entry-level ...
This project involves implementing the forward pass of an 18-layer Convolutional Neural Network (CNN) in MATLAB for object detection. The goal is to classify 32x32x3 images into one of ten categories, ...
When looking at the code you might realize there's a similarity to the autocorrelation / cross correlation demo app. :) Please be aware that you need Matlab and its Symbolic Math Toolbox (mainly for ...
Abstract: Error control (detection and correction) of data plays a pivotal role in networking to facilitate the reliable transmission of messages from source to ...
Abstract: Minimum Bit Error Rate is the aspiration of any communication system, so the performance of the system is improved. To achieve this, the best way is the use ...
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