least_square

用matlab进行信号的仿真实验，测量滤波后的混合信号的幅度和相位差。(Signal using matlab simulation, measurement of mixed-signal after filtering of the amplitude and phase difference.)

MATLAB6.5辅助优化计算与设计, 全面介绍了优化方法的基础理论和优化工具箱函数的功能，语法和工程实际应用。(MATLAB6.5 assisted optimization and design, a comprehensive introduction to optimization theory and the basis for optimization toolbox of functionality, grammar and practical application.)

声音时频分析的小程序，可以直接使用，可供初学者参考利用。(Sound frequency analysis procedures can be used directly reference for beginners to use.)

hi im kamran and i want to introduce my self i mhappy to meet you. bye

MATLAB简单约简算法，可以使用可以使用(Reduction Algorithm)

MATLAB的一些基本function代码(Some basic function of MATLAB code)

用matlab读取.dxf文件。本站原有代码dxf2coord_20.m中对于圆弧只能读出其圆心坐标及半径，缺少圆弧起始角及终止角，并不能在应用中实际用起来。修改后可以读出圆弧的起始角和终止角(the script can offer start angle and end angle of an arc,which are unable to access in an earlier script dxf2coord_20.m 。)

MATLAB仿真命令集，收集和总结了MATLAB仿真需要用到的命令(MATLAB ordered set, collect and summarizes the need to use MATLAB orders)

自己收集的matlab遗传算法的资料，耐心看完会有收获(Own collection of matlab genetic algorithm data, there will be harvesting the patience to read )

ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 (Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach. Basic idea: The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions. After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour. Literature: - Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)