myfirprogram

matlab中进行人脸识别研究时用到的所有程序码路径的设置.(face recognition matlab study carried out all the procedures used code path settings.)

8节点潮流计算程序，matlab配电网。电力系统的分析和计算中，需要不同网络结构和参数。在应 用这些参数之前，收集和整理工作会花费大量的时间和精力。(8-node flow calculation program, matlab distribution network. Power system analysis and calculation, require different network structures and parameters. Before applying these parameters, the collection and collation will spend a lot of time and effort.)

说明：  研究生matlab教材：matlab操作基础、矩阵及其运算、程序设计、文件操作、绘图、解方程与函数极值、动态仿真集成环境、数值积分与微分等(Graduate teaching matlab: matlab operating basis matrix and its operation, programming, file operations, drawing, solving equations with the function extreme value, integrated environment for dynamic simulation, numerical integration and differentiation,)

curve fitting by fft

MALAB GUI 学习资料， 总共10章 对初学者很有帮助。。。。。(MALAB GUI )

关于Matlab仿真的一些基本资料，帮助大家解决Simulink搭建模型的错误(Matlab simulation of some basic information to help you solve Simulink to build the model error)

无约束问题最优化方法的核心问题是选择搜索方向。 以正定二次函数为例，来观察两个方向关于矩阵Ａ共轭的几何意义(Unconstrained optimization problems are most core issue is to choose the search direction. In definite quadratic function, for example, to observe both directions on the matrix A conjugate geometric meaning)

《MATLAB程序设计教程》内含每章节PPT讲解及讲解实例的仿真源码，会给初学者很好的帮助。(" MATLAB Programming Guide" section contains the PPT and explain each simulation source code examples, will give beginners a good help.)

实现数字网络模拟过程的matlab程序。在matlab上调试通过(Digital network simulation matlab process procedures. Debugging through the matlab)

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)