dfod2

该算法在优化方面性能比较好，可用于函数极值，解方程，并且在前向神经网络权值和网络结构的训练也表现了不错的性能(The algorithm in the optimization performance is better, can be used in extreme value function, solve equations, and the former to the neural network weights and network structure of training has shown good performance)

说明：   开发环境:Matlab 简要说明:程序包含的设置包括：列数、样本总个数、建模样本数、预报因子数、预报对象数、学习因子、 动量因子、训练次数、总体误差、隐节点数。(development environment : Matlab brief description : program includes the installation including : number, the total sample number, the number of samples modeling, forecasting several factors, forecasting several targets, learning factor, momentum factor, the number of training, the overall error of hidden nodes.)

ofdm-qpsk jitiao to the understanding ultra wide band radio fundamentals(ofdm-qpsk jitiao)

电力电子、电机控制系统仿真模型 经典仿真源程序 洪乃刚版本(Power electronics, motor control system simulation model version of the classic simulation source Hong Naigang)

偏最小二乘程序,快速拟合数据，等到一个比较理想的估计值。(Partial least squares procedure, fast fit the data, until a more satisfactory estimate.)

fingerprint extraction

MATLAB程序图形设计文档MATLAB program graphics design documents(MATLAB program graphics design documents MATLAB program graphics design documents)

根据输入的电路矩阵表示形式，形成节点导纳矩阵，形成因子表的过程可以看做是规格化运算和消去运算的重复过程，重复的次数和非基准点的节点个数相同。 每个过程中进行的操作都相同，首先，存储规格化因子及消去因子；其次，对本行进行规格化运算，并将其值存储在因子表中；然后，对其后的每行进行消去运算；如此循环n次得到因子表。(Representation of the input of the circuit matrix, forming a node admittance matrix formation process can be seen as a factor table normalization process operations and eliminate duplicate operations, the same number of nodes and the number of repetitions of non-reference point. Each operation carried out during the same, first of all, storage and elimination factor normalization factor secondly, the Bank normalized operations, and its value is stored in the factor table then, each row will be erased after their operation so the cycle n times to get factor table.)

功能描述：vblast的sic检测算法vblast的sqrd.m检测算法(demodulation for IEEE802.11a)

matlab中的symerr函数可以求得误码率 只要看下文件中最后那个例子，这个函数你就会用了(matlab in symerr function as long as the error rate can be obtained see next document in this last example, this function you will use the)