caiyangshili

该文件中包含有常微分方程初值问题的四种数值解法，分别是：RK4法，AB4法，AB4_AM4预测矫正法和改进的AB4_AM4法(The document contains the initial value problem of ordinary differential equations of the four numerical method, namely: RK4 method, AB4 Act, AB4_AM4 forecast correction method and improved method AB4_AM4)

说明：  《载波相位相对定位双差方程原理》验证 《载波相位相对定位单差方程原理》验证 《载波相位相对定位双差方程原理》验证 《载波相位相对定位双差方程原理》验证当基站离流动站很近，并假设流动站概略坐标等于基站坐标，那么双差方程中距离向量就为0(&quot Double difference carrier phase relative positioning equation theory&quot test &quot single-difference carrier phase relative positioning equation theory&quot test &quot double difference carrier phase relative positioning equation theory&quot test &quot double difference carrier phase relative positioning equation principle&quot is verified when the base station from the mobile station near, and assuming that mobile station is equal to the base station coordinates approximate coordinates, so double-differential equation from the vector is 0)

S变换的matlab源码，并应用几个信号作为例子来说明怎么使用s变换以及s变换可以用来做些什么事情。s变换是时频分析领域中一个较新的内容，现在在信号处理，地震勘探，语音识别等领域都开始了对它的应用研究，是目前的一个热点。(S transform Matlab source, Applied Signal and several examples to illustrate how the use of Transform's's transformation can be used to do anything. Transform's time-frequency analysis is the area of a newer, now in signal processing, seismic exploration, Speech Recognition and other areas has started its applied research, is a hot spot.)

Small demo of applying a Kalman Filter to a simple problem.

Wireless Sensor Networks WSNs Modified LEACH P=0.1

三相风力发电控制系统。已经建好的模型，pwm控制(Three-phase wind power control systems. The model has been built)

对陀螺仪导航进行卡尔曼滤波的计算与仿真，效果很好。(For gyro navigation kalman filtering calculation and simulation, the effect is very good)

希尔伯特-黄变换的matlab代码，仅供参考(Hilbert-Huang Transform)

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

A Hopfield network is a form of recurrent artificial neural network invented by John Hopfield in 1982. Hopfield nets serve as content-addressable memory systems with binary threshold nodes. They are guaranteed to converge to a local minimum, but convergence to a false pattern (wrong local minimum) rather than the stored pattern (expected local minimum) can occur. Hopfield networks also provide a model for understanding human memory.