MATLAB

Simulated Annealing, Traveling Salesman Problem,

利用最优阀值法对图像进行分割，自己进行了改进，能够很好的对图像进行分割。(Using the optimal threshold method of image segmentation, improved themselves, can be a good image segmentation.)

本案例通过对图像加入高斯噪声，利用sym4小波函数对该图像和信号进行三级分解，用小波阀值去噪的方法对该图像进行去噪，并给出了仿真结果。(This case through join Gaussian noise image, use the sym4 wavelet decomposition of the image and signal, the wavelet threshold to filter method for the image denoising is presented, and the simulation results.)

This program give examples on how to sample from normal distribution

模式识别 图像归一化 计算机视觉的预处理 (Pattern recognition, computer vision, image normalization pretreatment)

正交线性判别分析（Orthogonal Linear Discriminant Analysis），可以用于数据降维上面。(orthogonal linear discriminant analysis (Orthogonal Linear Discriminan t Analysis), can be used for cutting down the data above.)

独立成分分析程序，实现独立成分分析的函数，可以再matlab中直接调用(Independent component analysis, independent component analysis functions directly call can matlab)

移动通信系统中正交频分复用OFDM的matlab仿真，包括调制和解调等(Mobile communication system in orthogonal frequency division multiplexing OFDM matlab simulation, including the modulation and demodulation, etc)

用于地球物理中重力和磁力位场边界提取的几个常用的算法，包含数据处理，建模，和滤波。(Gravity and Magnetic Data Mapping, Processing, Modeling and Filtering Software.)

本文基于毕肖普法和蒙特卡洛法,利用MATLAB编程软件计算了边坡结构的失效概率Pf和对应可靠指标β.在计算上述Pf和对应β时,考虑了土体三个主要基本参数(重度γ、内摩擦角(Ψ)、粘聚力c)的随机特性.利用MATLAB程序的计算结果表明,随机变量对边坡可靠度的影响与基本随机参数对抗滑反力的贡献大小有关,即,贡献大的基本随机参数,它的随机波动对结构失效概率Pf的影响也较大,反之亦然.另外,基于MATLAB的算例计算结果还表明:边坡结构失效概率Pf对内摩擦角(Ψ)较敏感,而对重度y和粘聚力c次之.其次,当同时考虑三个随机变量的联合波动对Pf的影响时发现,当它们在小范围内随机波动时,其联合特性对Pf的影响较敏感,但当它们在大范围内随机波动时,Pf主要受敏感随机变量的影响,而三个随机变量联合作用对Pf的影响和敏感随机变量(Ψ)单独作用时相差不大.由此可见,在实际边坡工程可靠性分析中,土体内摩擦角起主要作用,不容忽视.(Based Bishop method and Monte Carlo method, using MATLAB programming software to calculate the failure probability Pf and the corresponding slope reliability index β structure in the calculation of the above Pf and the corresponding β, consider the three main basic soil parameters (severe γ internal friction angle (Ψ), cohesion c) of the random nature of calculation results using MATLAB program shows that the influence of random variables on the reliability of the basic random slope parameters against anti- slip contribution to the size of the force , that is , the contribution the basic parameters of large random , random fluctuations which affect the probability of structural failure Pf is also larger , and vice versa addition, the calculation based on MATLAB numerical results also show that : the structure of slope failure probability Pf internal friction angle (Ψ) more sensitive , while severe and cohesion c y followed . Secondly, when taking into account the impact of the joint fl)