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多层次B样条曲面拟合，采用均匀的控制点实现曲面的光滑拟合。(Multi-level B-spline surface fitting, use of control points to achieve a uniform smooth surface fitting.)

泰勒级数展开算法是需要初始估计位置的递归算法，在每一次的递归中通过求解TDOA测量误差的局部最小二乘来改进估计的位置。 本程序基于MATLAB，对泰勒级数展开算法进行了仿真。初始位置的选取很重要，建议和其他简单的算法进行协同，对信号源位置进行定位。 希望对研究信号源定位的同志有所帮助。(Taylor series expansion algorithm is the need to estimate the location of the initial recursive algorithm, in every recursive TDOA measurement error by solving the partial least squares to improve the position estimate. The program is based on MATLAB, the Taylor series expansion algorithm for the simulation. The selection of the initial position is very important, the proposed algorithm and other simple coordination, to locate the signal source location. Want to locate the source of research help comrades.)

对铅酸蓄电池，超级电容，锂电池，三者连接到dc-dc变换器升降压，然后采取不同的控制策略，恒压，恒流，恒功率控制，最后通过逆变器将直流变交流。matlab 仿真(For lead-acid batteries, supercapacitors and lithium batteries, the three are connected to the dc-dc converter to increase and decrease the voltage. Then, different control strategies are adopted to control the constant voltage, constant current and constant power. Finally, the dc converter is changed into an alternating current through the inverter.The matlab simulation)

matlab程序中图形处理解析 关于图形处理的各种方法(matlab process graphics processing on graphics processing to resolve the various methods)

turbo码相关的程序 以及3GPP协议 对于研究turbo码方面的朋友有很大帮助，包括编码译码等等程序(turbo codes and procedures related 3GPP protocol for the study of aspects of turbo codes friends are very helpful, including the coding and decoding procedures, etc.)

这是一个关于阵列信号处理的LMS自适应波束形成MATLAB程序(This is an LMS adaptive beam forming array signal processing on MATLAB program)

利用simulink 仿真分析变压器谐波(Using simulink Simulation to Analyze Transformer Harmonic)

说明：  主要用于初学者的有关遗传算法的MATLAB的应用.这里应用了少量的工具箱,对初学者很有帮助.(Mainly for beginners of the Genetic Algorithm MATLAB applications. Here the application of a small amount of kit, very helpful for beginners.)

用于滤波作用的 在做纹理回复的时候需要用到(Filtering role for the texture back in to do the time needed)

自举是一种由重采样估计，独立和（蒙特卡洛重采样）等概率设置一个单一的数据统计变化的一个途径。允许的措施估计那里的潜在分布是未知的或者样本量很小。他们的结果与这些分析方法的统计特性相一致。 在这里，我们使用非参数逼近。非参数引导更简单。它不使用该模型的结构，建造人工数据。矢量[易西]是重采样，而不是直接与replecement。这些参数是从这些对构建。 二，回归模型时，应使用在回归方程中的两个变量是随机的，会有错误的，即不是由研究者控制。模式，我用普通最小二乘回归低估了变量之间的错误时，他们都含有线性关系的斜率。据索卡尔和罗尔夫（1995），模型二回归的主题是一对哪些研究和争论仍在继续，最终建议是很难做出。 BOOTGMREGRESS模型II是一个引导程序。这需要s引导和规范样品前坡计算变量。这两个变量的每个转化为具有零均值和标准差的一个。由此产生的斜率是线性回归系数的Y在X里克创造了这个词（1973）几何平均数并给出了一个模型II回归广泛审查。它也被称为引导标准的主要轴线(The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their results are consistent with the statistical properties of those analytical methods. Here, we use the Non-parametric Bootstrap. Non-parametric bootstrap is simpler. It does not use the structure of the model to construct artificial data. The vector [yi, xi] is instead directly resampled with replecement. The parameters are constructed from these pairs. Model II regression should be used when the two variables in the regression equation are random and subject to error, i.e. not controlled by the researcher. Model I regression using ordinary least squares underestimates the slope of the linear relationship between the variables when they both contain error. According to Sokal and Rohlf (1995), t)