AODV-UU is an AODV (Ad hoc On-demand Distance Vector) routing protocol implementation from Uppsala University. Key features are recent draft compliance, stability, and the ability to use it in both real-world (Linux) and ns-2 simulations
Will perform 3D Gaussian quadrature over a user-defined volume. The volume is defined by the user with function definitions entered in the appropriate spaces provided on the GUI. The user can change the number of Gauss points to use.
Function inputs need not accept vector args.
非線性有限元程序，NONSAP is a general finite element program for the nonlinear static and dynamic analysis of complex structures. The program is very flexible and was designed to be extended and modified by the user. In particular the program can easily be modified to use a different formulation of the equations of motions, different time integration operators and other additional options.
This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks.
Liferea is an abbreviation for Linux Feed Reader. It is a news
aggregator for online news feeds. It supports a number of different
feed formats including RSS/RDF, CDF and Atom. There are many other
news readers available, but these others are not available for
Linux or require many extra libraries to be installed. Liferea
tries to fill this gap by creating a fast, easy to use, easy to
install news aggregator for GTK/GNOME.
It was last updated for Liferea version 1.4.
ST uPSD32XX I2C This example demo code is provided as is and has no warranty,
implied or otherwise. You are free to use/modify any of the provided
code at your own risk in your applications with the expressed limitation
of liability (see below) so long as your product using the code contains
at least one uPSD products (device)
* Lightweight backpropagation neural network.
* This a lightweight library implementating a neural network for use
* in C and C++ programs. It is intended for use in applications that
* just happen to need a simply neural network and do not want to use
* needlessly complex neural network libraries. It features multilayer
* feedforward perceptron neural networks, sigmoidal activation function
* with bias, backpropagation training with settable learning rate and
* momentum, and backpropagation training in batches.
