Convex-Optimization

图像的平面微分平方和能够反映图像高频分 量的能量。用计算平面微分平方和的方法在空间域上计算相邻像素亮度差值的平方和，对应于在频率域上计算图像高频分量的能量和，此值越大，图像对焦越准确(Differential square image plane and the image can reflect the energy of high frequency. Computational method of Planar Differential squares calculated in the space domain to the square of the difference between the brightness of adjacent pixels and corresponds to the image in the frequency domain calculation of high frequency energy and, this value is larger, the more accurate the image focus)

数学建模仿真,09年眼科病床仿真源程序，内有时间安排说明(math modeling simulink)

《雷达系统设计MATLAB仿真》第一版源代码和代码生成 的图像，可以和VC++混合编程使用(" Radar system design MATLAB simulation," the first edition of the source code and the code generated images, you can use hybrid programming and VC++)

: 针对实际振动位移难以获取的问题, 利用振动位移与加速度信号之间的关系, 先对采样后的加速度信 号采用时域数值积分,得到含有趋势项的速度信号及位移信号,再采用拟合多项式极值的方法, 消除积分过程 中产生的趋势项,从而得到更为精确的速度和位移信号. 算例表明, 利用拟合多项式极值消除趋势项的方法, 得到的位移时程曲线拟合精度高(: In pract ical engineering , the collection of displacement data is mo re dif ficult than that of the acceleratio n data in the time-domain .Displacement sig nals w as g ot f rom acceleration s ignals using aumerical integrat ion , wi th the t rend o f erro r. Poly nomial fit ting method o f ex t reme value to eliminate the trend of erro r w as proposed . More precise di splacement data can be acquired f rom thi s algo rithm. The example show s that thi s alg orithm can get hig h accuracy displacement data f rom the acceleration data mo re easi ly .)

基于直方图的均衡化和规 定化处理的图像增强技术基本原理,给出了相关推导公式和算法 同时,以一个灰度图像为例,用MATLAB 语言实现了直 方图均衡化和规定化增强处理(Based on histogram equalization and processing requirements of the basic principles of image enhancement technology, gives the derivation of formulas and algorithms related the same time, a grayscale image, for example, using MATLAB language to implement the provisions of histogram equalization and enhancement)

最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法(LS)

地震资料处理中非常常用的，方便易用的matlab数字处理包(Seismic data processing is very common, easy to use matlab digital processing package)

基于模糊规则的pso算法，用MATLAB编写的,绝对可用(Pso algorithm based on fuzzy rules, written using MATLAB, absolutely free)

a few matlab programs from my computer s faculty

特征空间方法是现代谱估计的重要方法之一。针对噪声中的复正弦信号的模型，通过特征矢量的方法进行信号空间的分解。通过将信号空间分解为谐波信号空间和噪声信号空间这两个相互正交的空间的方法进行谱估计。Pisarenko,Music,ESPRIT算法都是这一类方法的重要算法。我们通过对不同算法进行比较分析不同算法在各种状况下的表现性能。并针对ESPRIT算法的各种改性和提升进行对比和测试。(Feature space is one of the modern spectral estimation method. Complex sinusoidal signal for the noise model, by the method of the feature vector for the decomposition of the signal space. By decomposition of the signal space to the space harmonic signal and the noise signal space, the method of the two mutually orthogonal spatial spectrum estimation. Pisarenko, MUSIC, ESPRIT algorithm is an important algorithm of this type of method. Different algorithms, our comparative analysis of the performance of different algorithms performance under a variety of conditions. And for a variety of modification and upgrading of the ESPRIT algorithm to compare and test.)