stripmethod

系统辨识与自适应控制MATLAB仿真教材里递推梯度校正估计算法的参数估计的matlab实现的程序(System identification and adaptive control of MATLAB simulation in the textbook recursive gradient correction estimation algorithm to estimate the parameters of the matlab program)

包含了Lagrang和Newton两种插值方法，便于数据的处理(Contains two Lagrang and Newton interpolation method to facilitate the processing of data)

信号处理，用这个Matlab的程序可以处理信号。(filter signal)

关于求解物体存在的包裹相位的几种解包裹算法，有基于DCT理论的最小二乘算法，整体变份法，以及Goldstein枝切法等。(Several solving existing objects wrapped phase unwrapping algorithm, least squares algorithm based on DCT theory, the overall change copies law, as well as Goldstein branch-cut method.)

用matlab实现lms算法，可以在信号处理中减小噪声的误差(Using matlab lms algorithm can reduce the noise in the signal processing error)

a*算法与d算法的路径规划基于MATLAB的实现(Realization of Path Planning of a* and D Algorithms in MATLAB)

非线性动力学、分岔 Matlab 程序实现，弹簧质量系统在简谐激励作用下的受迫振动，弹簧的恢复力F与变形x的关系为F=kx3，动力学方程为...30cosmxcxkxFwt++= 其中，给定参数，1m=，0.3c=，1.0k=，1w=，初始条件为(0)3.0x=，.(0)4.0x=设系统的动态参数为F0，绘出系统状态变量随参数变化分岔图，绘图参数对应的系统各周期及混沌状态的时间历程图、相轨迹图、Poincare映射图(Nonlinear dynamics, bifurcation Matlab program, the forced vibration spring-mass system under harmonic excitation, spring restoring force F and deformation x relationship the F = kx3, kinetic equation for ... 30cosmxcxkxFwt++ = wherein the given parameters, 1m = 0.3C = 1.0k = 1W =, initial condition (0) 3.0x = (0) 4.0x = set of the dynamic parameters of the system for the F0, plotted system status system cycle and chaotic state variables with parameter changes bifurcation diagram, drawing parameters corresponding time course of the phase trajectories, Poincare map)

求微分方程通解 给出三元一次微分方程，求其通解的matlab程序(Differential equation is obtained)

mimo code for using the ldpc

本文论述并设计实现了一个脱机自由手写体数字识别系统。文中首先对待识别数字的预处理进行了介绍，包括二值化、平滑滤波、规范化、细化等图像处理方法；其次，探讨了如何提取数字字符的结构特征和笔划特征，并详细地描述了知识库的构造方法；最后采用了以知识库为基础的模板匹配识别方法,并以MATLAB作为编程工具实现了具有友好的图形用户界面的自由手写体数字识别系统。实验结果表明，本方法具有较高的识别率，并具有较好的抗噪性能。(In this paper, and design implementation of a freely Offline handwritten numeral recognition system. First, identify the figure of the pre-processing treatment were introduced, including binarization, smoothing filtering, standardization, refinement, such as image processing method Secondly, to explore how to extract the structural features of characters and stroke characteristics, and described in detail Knowledge of the construction method Finally the use of a Knowledge-based template matching to identify methods and MATLAB as a programming tool to achieve with a friendly graphical user interface of freely handwritten numeral recognition system. The experimental results show that this method has higher recognition rate, and has better anti-noise performance.)