mangfenli

计算信号的短时傅里叶变换。用法见函数说明。(Short-time Fourier transform calculation signals. Usage See function description.)

漂流跟踪文献，主要是高频地波雷达相关内容。仅作参考(Rafting tracking literature, mainly HFSWR related content. For reference only)

拓扑优化双向渐近线。可以进行拓扑优化研究的算法(Topology optimization bidirectional asymptotes)

计算二维光子晶体能带结构matlab程序(matlab )

说明：  清华大学 研究生 最优化 源代码 matlab 程序(Tsinghua University graduate program optimized source code matlab)

用matlabGUI界面实现了不同方法的功率谱估计(Power spectrum estimation GUI)

Matlab实用小程序实例合集第一部分，都是一些完成特定功能的小程序，很适合新手朋友(Practical examples of Matlab collection first part of the program, are some of the specific features of the completion of a small program, it is suitable for novice friend)

说明：  ：用NRTL方程，对二元混合物的气一液相平衡数据和液一液相平衡数据进行关联，并用液一液相平衡数据优化所得的参数，预测汽液相平 衡．关联和预测的结果均能满足程设计要求(: The NRTL equation, the binary mixture of gas-liquid phase equilibrium liquid-liquid phase equilibrium data and the data associated with liquid-liquid phase equilibrium data to the optimum parameters to predict vapor-liquid equilibrium. Correlation and prediction results can meet the design process)

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)

线性调频信号产生 带宽为240MHz 脉冲宽度为5us(Chirp signal bandwidth of 240MHz generate a pulse width of 5us)