Kalman

matlab的随机数生成算法， 产生伪随机数(matlab random number generation algorithm to produce pseudo-random number)

NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法，它是在网络分析法（AHP）基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个： 1 确定因素，并建立网络层和控制层模型。 2 创建比较矩阵。 3 按照指标类型针对每列进行规范化。 4 求出每个比较矩阵的最大特征值和对应的特征向量。 5 一致性检验。如果不满足，则调整相应的比较矩阵中的元素。 6 将各个特征向量单位化(归一化)，组成判断矩阵。 7 将控制层的判断矩阵和网络层的判断矩阵相乘，得到加权超矩阵。 8 将加权超矩阵单位化(归一化)，求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。 (NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following: A determining factor, and a network layer and control layer model. 2 create a comparison matrix. For each of the three types of indicators in accordance with normalized columns. 4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors. 5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements. 6 will each feature vector units of (normalized), to determine the composition of matrix. 7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix. 8 of the weighted super-matrix units of (normalized), seeking the powe)

用自适应门限的方法进行跳频信号的参数估计，取得了较好的效果(Adaptive threshold method estimates the parameters of frequency hopping signals, achieved good results)

用来计算线性拉登变换免费工具包包括 MATLAB 演示程序 产品信息和示例等等 (High Availability Large Data Sets, High Performance )

说明：  自相关算法的程序，可以运行的，本人认真研究，编写出来的(Autocorrelation algorithm that can run, I seriously study, written by)

非常适合计算机视觉方面的研究使用,利用自然梯度算法，可实现对二维数据的聚类。( Very suitable for the study using computer vision, Use of natural gradient algorithm, Can realize the two-dimensional data clustering.)

这篇论文可帮助大家快速的学习matlab编程(This paper will help study of U.S. Express matlab programming)

3 Phase Induction Motor Controlled with 9-Level Diode-Clamp Inverter

matlab下实现的pca降维算法,降低数据维数，保留数据的主特征(pca dimensionality reduction algorithm on matlab)

说明：  动作的表面肌电信号进行频谱分析和功率谱估计，计算 肌电信号的时域和频域参数，根据结果分析讨论肌肉工作状态程序源码，在matlab软件测试成功(The spectrum analysis and power spectrum estimation of the surface electromyogram signal of the action are carried out, and the time domain and frequency domain parameters of the electromyogram signal are calculated. According to the results, the program source code of the muscle working state is discussed and tested successfully in MATLAB software.)