多重分形

10机系统k1-k18模型1+g0(s)。能运用于电力系统潮流计算，MATLAB编写(10-machine system k1-k18 Model 1+ G0 (s). Can be applied to power system load flow calculation, MATLAB prepared)

GM11适应范围.PDF文件；非常实用的GM11模型Matlab程序。C语言基础即可明白，无需多言(GM11 adaptation range. PDF file very useful GM11 model Matlab procedures. C programming language to understand, no need to say)

解ode的算法源程序，算例为一阶常微分方程(ode solution algorithm source code, examples of first-order differential equation)

本代码是基于RSSI的无线定位代码，包括PPT和论文说明，代码里边还好有GUI仿真代码。( The code is based on the RSSI of wireless location code, including PPT and papers instructions, but fortunately there are GUI code inside the simulation code.)

matlab convolution sample

matlab works codes and simulations

用于初学者学习径向基函数神经网络，可以了解径向基函数神经网络的预测程序。对径向基函数神经网络有一个大体的了解。(For beginners to learn the radial basis function neural network prediction program can understand radial basis function neural network. Radial basis function neural network has a general understanding.)

DD算法实现语音增强，噪声谱估计，根据寂静帧和后面能量的对比来估计(DD algorithm speech enhancement, noise spectrum estimation, based on comparative silence frame and rear energy to estimate)

说明：  该书介绍了两大智能算法(遗传算法和粒子群算法)的具体应用和实例分析。(This book introduces the specific application and case analysis of two intelligent algorithms (genetic algorithm and particle swarm optimization algorithm).)

一个强大的工具分析 寻找 逆转录(逆转录)跟随由聚合酶链反应，该程序定量分析信使核糖核酸。定量表达基因水平，特别是能为低级的丰富信使核糖核酸提供分析工具。(Reverse transcription(RT) followed by PCR is a powerful tool for the detection and quantification of mRNA. It is the most sensitive method for the detection and quantification of gene expression levels, in particular for low abundance mRNA. The relative quantification is based on the expression ratio of a target gene versus a reference gene. Some mathematical models have already been developed to calculate the relative expression ratios, with or without efficiency correction. Normally the PCR efficiency is set at 2 (the max possible value) for the reference and target gene, but a difference in PCR efficiency of 0.03 between the target and reference gene, the falsely calculated difference in expression ratio is 46 in case of Et<Er and 209 in the case of Et>Er. The difference will increase dramatically by higher efficiency differences: i.e. DE=0.05 (27 and 338 ) and DE=0.1 (7.2 and 1083 ) This function computes the efficiency of PCR reaction and is based on my function MYREGR)