bilnrmap

bilateral filter for color and gray images

基于MATLAB7.0的统计信息处理，很厚的一本书，包含了特多的统计学算法及MATLAB实现，比如隐马尔科夫连，最小二乘法等统计学算法(Statistical information processing based on MATLAB7.0 very thick book that contains a special number of statistical algorithms and MATLAB implementation, such as hidden Markov with, least squares, a statistical algorithm)

本方案采用了Bartlett法的ARMA过程的谱估计，可以对以上模型分析(The program uses the Bartlett method of ARMA spectral estimation process, the above model can be)

说明：   考虑幅值谱与相位谱的人造地震动模拟与反应谱拟合 我国对《建筑结构抗震规范》进行了修订，将设计反应谱周期由原来的3秒延长到现在的6秒。反应谱周期的延长。 本程序以新规范反应谱作为目标谱，采用三角级数迭加来模拟地震动加速度。(consider amplitude spectrum and phase spectrum of the artificial seismic simulation and pattern fitting response to China's "structural seismic code" the amendment to the design spectrum cycle from three seconds to extend the current six seconds. Response spectrum cycle extension. The new procedures to regulate spectrum as the target spectrum, the use of triangular series superposition to simulate vibration.)

模型预测控制的动态预测控制算法matlab程序(Model predictive control, dynamic predictive control algorithm matlab program)

QAM和OFDM两种方式性能对比，具有图形界面GUI，并且包括收发两端完成的代码 (QAM and OFDM performance comparison of two ways, with a graphical interface GUI, and includes the sending and receiving ends to complete the code)

实现神经网络PID进行编程，仿真，此神经网络是BP神经网络。(Realize the neural network PID programming, simulation, the neural network is BP neural network.)

BP神经网络容易陷于局部极小值，PSO算法在无约束非线性函数优化方面性能优越，通常可以直接找寻到全局最优解，即使不能搜多到全局最优解，也距离全局最优点不远。当然，基本PSO算法陷入局部极值也是有的。对于这个缺点目前还没有找到比较有效、省市的解决方案。本案例实现利用PSO算法和BP算法共同训练神经网络，先将网络进行PSO算法训练，然后BP算法接着进行小范围精细搜索，PSO算法训练神经网络的本质就是将输出误差函数（即能量函数）看成目标函数，PSO对能量函数进行全局寻找最小值。(BP neural networks are prone to local minimum values. The PS algorithm has superior performance in the optimization of unconstrained nonlinear functions. It can usually find the global optimal solution directly. Even if it can not find more global optimal solutions, it is not far from the global best. Of course, there is also a local extreme of the basic PO algorithm. For this shortcoming, there is no more effective, provincial and municipal solution. This case realizes the use of the SO algorithm and the BP algorithm to train the neural network. First, the network is trained in the SO algorithm, and then the BP algorithm is followed by a small range of fine searches. The essence of the PO algorithm training neural network is to regard the output error function(ie, the energy function) as the objective function, and the PO seeks a global minimum value for the energy function.)

输电网潮流及状态估计计算程序（牛拉、高塞、PQ、直流等各种程序）(lose power flow calculation and state estimation procedures (ox-drawn, high-Cypriot, PQ, DC, and other procedures))

This a two dimensional level set code that constructs signed distance function using a first order Godunov scheme.