DSP

基于自适应滤波器的LMS算法仿真程序的计算部分(Based on the LMS adaptive filter algorithm for the calculation of part of simulation program)

matlab神经网络函数以及网络构建的一些介绍(Matlab ANN)

钱伯斯——三点迭代公式，同抛物线法一样可以求方程的根。(Chambers- 3:00 iteration formula, with the parabola method can still seek the root of equations.)

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)

from websit…………………………

this code for RLS equalizer in OFDM system

电力系统稳态潮流程序，极坐标和直角坐标程序(Power system steady trend procedures, polar and rectangular coordinates program)

matlab人工地震波合成程序，三角级数(matlab earthquake)

OQAM pre processing

说明：  该程序实现了MATLAB模糊控制的功能，a1是隶属度函数设计,a2是模糊控制器程序(The program realizes the function of matlab fuzzy control, A1 is the membership function design, A2 is the fuzzy controller program)