histogramZadany

Levenberg–Marquardt Method，LM拟合优化算法的Matlab平台.m文件的实现(Levenberg–Marquardt Method. The inplementation of matlab.m)

matlab调用ansys命令及ansys读取matlab数据命令流 (ansys ansys command and call matlab matlab data read command stream)

图像的加密解密MATLAB源码，包含lena的测试图像及加密解密图像。( Image encryption and decryption of the source, including the test images lena and image encryption and decryption.)

最新理论压缩感知中的信号重构算法，能够实现OMP这种常用的重构算法(The latest theory of compressed sensing signal reconstruction algorithms to achieve this common OMP reconstruction algorithm)

数字自适应波束形成算法中的盲自适应算法的分析与仿真(Analysis and simulation of digital adaptive beamforming algorithm blind adaptive algorithm)

根据以下的平板光波导在波长为1550 nm时的折射率数据 1.作 出 不 同 波 导 芯 厚 度 d (0<d<15  m)对应的TE模式 与TM模式的色散图； 2.给出满足单模与双模传输的 波导厚度范围。 3.确定包层所需的最小厚度a 与b的值(The refractive index of the optical waveguide data at a wavelength of 1550 nm according to the following plate 1. do not make the same waveguide core thickness d (0 <d <15  m) corresponding to the TE mode And TM mode dispersion map 2. The single-mode and dual-mode transmission is given to meet the Waveguide thickness range. 3. To determine the required minimum thickness of a cladding And the value of b)

图像纹理提取，这是用matlab编的图像纹理提取程序，该方法能有效的用于纹理分析。(Image texture extraction, which is compiled using matlab image texture extraction process, the method can be effectively used for texture analysis.)

1 chaos_draw_GCM.m 基于最大标准差绘制的大域耦合相图（GCM）；2 chaos_GCM.m 特定参数下的大域耦合状态变量的值的时域及频域图； 3 chaos_simple.m 混沌对初始条件敏感的实验； 4 ICAS.m ICAS系统的评价数据处理； 5 julia.m 朱莉娅集的绘制； 6 logistic.m 逻辑斯蒂克集的稳定点关于参数u的分布(1 chaos_draw_GCM.m drawn based on the maximum standard deviation of the big field coupling phase diagram (GCM) big field coupling state variable 2 chaos_GCM.m special parameter values ​ ​ in the time domain and frequency domain 3 chaos_simple.m Chaos sensitive to initial conditions experimental evaluation data processing 4 ICAS.m ICAS system draw 5 julia.m Julia sets stable point 6 logistic.m logic Si Dike set of parameter distributions u)

数据融合的问题，比较详细，完整，看那一系列文档(Data integration issues, more detailed, complete, look at a series of documents)

已知三基准点和原点，通过未知点、基准点与原点距离，未知点与基准点距离，求未知点坐标(Known three reference points and the origin, through unknown point, the reference point and the origin of the distance from the unknown point and the reference point, find the coordinates of the unknown point)