ERU-2-wsn

针对当前存在的大量数值型数据，将连续型数据离散化，有利于计算机直接处理变量。(In view of the existence of a large number of numerical data, the discretization of continuous data is conducive to deal directly with the variable computer.)

用Mie理论计算双层粒子的散射角——散射光强曲线 1．RB1.m 计算第一类Ricatti-Bessel函数的函数 2．RB2.m 计算第二类Ricatti-Bessel函数的函数 3. Alegendr.m 计算角函数 和 的函数 4. MieCoeff.m 计算包覆粒子米尔系数的函数 5. Amp.m 计算散射光复振幅的函数 6. MieIntensity.m 画包覆粒子散射角-光强图 (Mie theory calculations using double-particle scattering angle- scattering intensity curve 1. RB1.m calculate the first class Ricatti-Bessel function of the function 2. RB2.m calculate the second category Ricatti-Bessel function of the function 3. Alegendr.m computing angle functions and function 4. MieCoeff.m coated particles Mill coefficient calculation function 5. Amp.m calculate the scattering amplitude recovery function 6. MieIntensity.m painting coated particle scattering angle- light intensity diagram)

对普通 RJMCMC算法提出了改进算法，并由MATLAB实现。(Ordinary RJMCMC algorithm proposed an improved algorithm, MATLAB realization by.)

M-Z干涉仪结构有限差分光速传播法源程序(The source program of M-Z Interferometer in FD-BPM)

说明：  包括时间延迟参数的确定，G_P方法，相空间重构等源码。绝对可以运行。(Including the time delay parameters, G_P methods, such as phase-space reconstruction source. Definitely can run.)

This paper deals with the problem of speech enhancement when only a corrupted speech signal is available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autoregressive (AR) model and represented in the state-space domain.(This paper deals with the problem of speech enhancement when only a corrupted speech signa l is available for processing. Kalman filterin g is known as an effective speech enhancement te chnique. in which speech signal is usually modeled as aut oregressive (AR) model and represented in the s tate-space domain.)

用16C62写的汽车防盗器程序，自动防盗，锁定汽车的油路电路(with 16C62 written procedures for vehicle anti-theft device, automatic anti-theft, motor vehicle lock on the asphalt circuit)

免疫粒子群算法，这种免疫粒子群优化算法结合了粒子群优化算法具有的全局寻优能力和免疫系统的免疫信息处理机制，并且实现简单，改善了粒子群优化算法摆脱局部极值点的能力。(Immune particle swarm algorithm, this immune particle swarm optimization PSO combines the global optimization ability of the immune system and immune mechanisms of information processing algorithm, and the simple, to improve the PSO' s ability to get rid of the local extreme points .)

说明：  运用自回归算法，对数据进行预测，附带案例。(The data are predicted by using autoregressive algorithm.)

Simulation of M/M/1 queue