LDPC-code-construction

多维非线性辨识的MATLAB程序（用神经网络学习二维非线性函数）(multidimensional nonlinear identification MATLAB (using neural networks to learn two-dimensional nonlinear function))

本代码为matlab编写，编程实现信号经过QPSK调制后，再经过AWGN信道下，得到的误码率性能曲线，并且与理论上的误码率进行对比。(The matlab code is written in programming through the QPSK modulation signal, and then through the AWGN channel, the resulting bit error rate performance curve, and with the theoretical bit error rates were compared)

region based growing

实现无线传感器网络分簇路由算法的程序，可以运行的。( clustering routing for Wireless sensor network , the programs can run.)

programme programme

2FSK 的调制与解调 实现误码率图 MATLAB(2FSK realize the modulation and demodulation BER MATLAB Figure)

非线性函数拟合——利用遗传算法来优化BP神经网络，利用神经网络开发包实现图形化的神经网络模拟，使得神经网络原理更直观，可用于教学，也可用于实际神经网络训练，内附详细帮助文件。(Non-linear function fitting- using genetic algorithms to optimize the BP neural network, neural network development package to implement graphical neural network simulation, neural network theory makes more intuitive, can be used for teaching, but also can be used for the actual neural network training, in with detailed help files.)

Albert-László Barabási与Réka Albert在1999年的论文中提出了一个模型来解释复杂网络的无标度特性，称为BA模型。这个模型基于两个假设： 增长模式：不少现实网络是不断扩大不断增长而来的，例如互联网中新网页的诞生，人际网络中新朋友的加入，新的论文的发表，航空网络中新机场的建造等等。 优先连接模式：新的节点在加入时会倾向于与有更多连接的节点相连，例如新网页一般会有到知名的网络站点的连接，新加入社群的人会想与社群中的知名人士结识，新的论文倾向于引用已被广泛引用的著名文献，新机场会优先考虑建立与大机场之间的航线等等。 (Albert-László Barabási with Réka Albert in the 1999 paper proposed a model to explain the complex networks of scale-free property, known as the BA model. This model is based on two assumptions: Growth pattern: a lot of real network is expanding growing from, for example, the birth of the Internet BEIJING, page, new friends to join the network of people, a new paper published aviation network in the new airport construction and so on. Priority connection mode: a new node upon accession will tend to connect to the node connected to, for example, a new page will generally have a connection to the well-known networking sites, and the new Community will want with the community s well-known get to know the new paper preference is to use well-known literature has been widely cited, the new airport will give priority to create and airport routes.)

optimised forwarding of wsn using fuzzy interface systms

刚好这里有一个现成的 ，自己编程剔除数据异常值。(Here are just a ready-made, its own programming excluding data outliers.)