k-epso

2ask的产生与接收，使用匹配滤波器，无需同步。运用MATLAB运行(2ask generation and reception, using the matched filter, without synchronization. Run using MATLAB)

In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete introductory discussion can be found in [Sorenson70], which also contains some interesting historical narrative.(In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discretedata li near filtering problem [Kalman60]. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation. A very "friendly" introductio n to the general idea of the Kalman filter can be f ound in Chapter 1 of [Maybeck79] while a more complete introductory discussion can be found in [Sorenson70] which also contains some interesting historic al narrative.)

This is a program to illustrate the interference cancellation in cognitive radio

汽车爬坡度计算，m文件。用matlab软件打开。(Vehicle gradient calculation, m file.)

根据对真空蒸发镀膜的分析，在40×40的范围内分别蒸 发：1000、5000、10000、20000、30000个粒子。  利用2维数组记录每个点的粒子数。  初始粒的横纵坐标为0～40的均匀分布。  能量为（15，3）的正态分布。  在基体表面自由行走时损失1的能量。  若该点有粒子，即与其他粒子相遇时损失3的能量。  由低处向高处扩散，每扩散一层，损失4的能量，由高处 向低处扩散，损失3的能量。  当粒子的能量小于等于0时停留下来，该点的粒子数加1。  临界核的尺寸为10个粒子。  根据每个点粒子个数的不同，以不同的灰度显示这些点。 点越亮，则表示该点的膜越厚。  以图形方式显示粒子初始能量的正态分布情况(Based on the analysis of the vacuum evaporation coating, respectively, in the range of from 4040 evaporated: 1000,5000,10000,20000,30000 particles.  each point using 2-dimensional array to record the number of particles. The  initial grains transverse and longitudinal coordinates of a uniform distribution of 0 to 40. The  energy as a normal distribution (15,3).  1 energy losses in the substrate surface to walk.  point particles that 3 energy loss in the encounter with the other particles.  by the lower diffusion tops every diffusion layer, a loss of 4 energy diffusion from high to low, the energy loss of 3.  When the energy of the particles is less than or equal to 0:00 stay down, add 1 to the number of particles that point.  critical nucleus size of 10 particles.  these points, depending on the number of particles of each point is displayed in a different shade. Point, the brighter, the thicker the point of the fi)

通过风电场的实际功率和预测功率进行风储功率容量配置(Wind Storage Power Capacity Configuration)

说明：  该例程实现了男女声音识别的算法，识别准确率较高(This routine realizes the algorithm of male and female voice recognition, and the recognition accuracy is high.)

电力系统分析课程设计源代码，对于最优潮流学习具有极高的参考价值(Analysis of curriculum design of power system source code, learning has a very high reference value for the optimal power flow )

加权最小二乘迭代求解多参数估值。用于求解平差问题及其他领域优化问题。(The weighted least-squares iterative solution of multi-parameter estimates. Adjustment for solving optimization problems and other problem areas.)

迭代法求最佳阈值 图像为baboon.bmp 分别对R,G,B三个颜色求阈值，进行分割(Iterative method for the optimal threshold image baboon.bmp respectively R, G, B three colors for the threshold segmentation)