nun-hv28

假设在一个ad hoc网络中，移动节点的发射功率PTx总是恒定的。要发送数据的移动节点总是先监听信道，测量接收到的信号功率X，其中X= I + N, I为接收到的干扰，N是噪声。移动节点只有在X＜INThre时，才可以发射。式中，INThre为背景噪声门限。 在仿真中，我们规定每个移动节点的发射功率是常数，PTx = 1W；接收节点接收机的灵敏度Smin = -80 dBm；信号质量 min = 2 dB；系统的背景噪声门限INThre = 1.2e-10。 (Assuming in an ad hoc network, mobile node s transmission power is always constant PTX. To send data to the mobile node always monitor channel, measuring the received signal power X, which X = I+ N, I was received interference, N is the noise. Mobile node only when X <INThre when it is fired. Where, INThre threshold for background noise. In the simulation, we require that each mobile node s transmission power is constant, PTx = 1W receiver node receiver sensitivity Smin =-80 dBm signal quality )

多目标非线性约束的粒子群算法，采用灰度理论，混沌理论，动态惩罚函数，可针对任何复杂函数进行优化，效果很好(Nonlinear constrained multi-objective particle swarm algorithm, using gray theory, chaos theory, dynamic penalty function can be optimized for any complex function, the effect is very good)

The distribution network has characteristics different from the transmission system. Distribution networks are commonly 1. three-phase unbalanced 2. radial with sometimes weakly meshed topology 3. with high resistance to reactance (r/x) rations here, an equivalent current injection method is used in rectangular coordinates to analyse the given radial distribution system. The FDLF method uses the NR-algorithm, with a constant Jacobian matrix. This matrix is further decoupled into two identical sub-Jacobian matrices.

BPSK with Additive White Gaussian Noise

灰色PID的位置跟踪MATLAB源程序代码(PID)

matlab 与math library,C++ 的资料，英文原著，权威。(Matlab and math library, C, the English original, authoritative.)

ultra wide band simulation 5

New revised K-means聚类算法，为matlab函数，需要调用才能使用(New revised K-means clustering algorithm for matlab function, you need to call in order to use)

A signal is transmitted using a carrier frequency of 900 MHz. It is transmitted through a multipath channel which can be modelled as Rayleigh fading. Assumingthe Dopper spread as 10Hz and the number of multipaths as 10, generate the Rayleigh faded signal. Compute the outage rate (the probability of the signal falls below certain rate, say ?10 dB) of the signal. Using MATLAB, demonstrate the path loss as a function of loss parameter for distances ranging from 2 km to 40 km. Calculate the power loss in dB

matlab矩阵的生成,希望对大家有好处~(matlab matrix formation, in the hope that everyone will benefit ~)