FSK

数据资料是数学模型与实际问题接轨的重要途径和手段，有时还可以直接从数据资料中发现规 律组建模型。数据分析和处理是统计学研究的主要内容，也是计算数学的工作领域，近年来随 着计算机科学的发展，对“海量”数据的分析形成了一门新的交叉学科“数据挖掘”。这一章仅 介绍用统计学的最小二乘法构造拟合数据模型，以及用计算数学的函数插值方法处理数据解决 实际问题。(Is a mathematical model of data integration an important practical problem with the ways and means, and sometimes directly from the data can also be found in the law of the formation model. Statistical data analysis and processing is the main research, but also work areas of computational mathematics, computer science in recent years, along with the development of the " mass" analysis of the data formed a new cross-disciplinary " data mining." This chapter describes only the structure with a statistical method of least squares fit data models, and computational mathematics and data processing function interpolation methods to solve practical problems.)

说明：  用matlab实现的基本遗传算法、顺序选择遗传算法、适值函数标定的遗传算法、大变异遗传算法、自适应遗传算法、双切点交叉遗传算法、多变异位自适应遗传算法(Using matlab realize the basic genetic algorithm sequentially selects genetic algorithm, fitness function of the genetic algorithm calibration, large mutation genetic algorithm, adaptive genetic algorithm, double cut-point crossover genetic algorithm, adaptive genetic algorithm changeable ectopic)

This paper investigates the design of joint frequency offset and carrier phase estimation of a multi-frequency time division multiple access (MF-TDMA) demodulator that is applied to a digital video broadcasting—return channel system via satellite (DVB-RCS). The proposed joint estimation algorithm is based on the interpolation technique for two correlation values in the frequency and phase domains. This simple interpolation technique can significantly improve frequency and phase resolution capabilities of the proposed technique without increasing the number of the correlation values. In addition, the overall block diagram of a digital communications receiver for DVB-RCS is presented, which was designed using the proposed estimation algorithms. Index Terms—Carrier phase estimation, DVB-RCS, frequency offset estimation, interpolation, joint estimation, MF-TDMA.(This paper investigates the design of joint frequencyoffset and carrier phase estimation of a multi-frequency time divisionmultiple access (MF-TDMA) demodulator that is applied toa digital video broadcasting-return channel system via satellite (DVB-RCS). The proposed joint estimation algorithm is based onthe interpolation technique for two correlation values in the frequencyand phase domains. This simple interpolation techniquecan significantly improve frequency and phase resolution capabilitiesof the proposed technique without increasing the number ofthe correlation values. In addition, the overall block diagram of adigital communications receiver for DVB-RCS is presented, whichwas designed using the proposed estimation algorithms.Index Terms-Carrier phase estimation, DVB-RCS, frequencyoffset estimation, interpolation, joint estimation, MF-TDMA.)

基音端点检测，可用于语音识别，语音识别，和语音编码中。(speech point detection)

Matlab Matrix algebra, very important book for building mathematical basics in Matlab

模拟光栅衍射,不同入射角度，得到级次的衍射光场(simulation grating diffracton)

M/M/C模型的呼叫过程阻塞概率的仿真 Simulation M / M / C call blocking probability model(Simulation M/M/C call blocking probability model)

三次样条插值函数边界条件由实际问题对三次样条插值在端点的状态要求给出。以第1边界条件为例，用节点处二阶导数表示三次样条插值函数，用追赶法求解相关方程组。(Cubic spline interpolation function from the real problems of boundary conditions cubic spline interpolation is required to give the state of the endpoint. In the first boundary condition, for example, with a node represents the second derivative of the cubic spline interpolation function, solving equations associated with the catch method.)

Image Storage in Access

说明：  灰色理论认为系统的行为现象尽管是朦胧的，数据是复杂的，但它毕竟是有序的，是有整体功能的。灰数的生成，就是从杂乱中寻找出规律。同时，灰色理论建立的是生成数据模型，不是原始数据模型，因此，灰色预测的数据是通过生成数据的gm(1,1)模型所得到的预测值的逆处理结果。 此程序用来作灰色预测。 (Gray theory that the behavior of the system even though the phenomenon is dim, the data are complex, but it is after all, is orderly, there is a whole function. Gray number generation, that is, from the clutter to find out the laws. At the same time, the gray theory is to generate data model, rather than the original data model, therefore, gray forecast data to generate data through the gm (1,1) model by the inverse of the predictive value of the results. This procedure is used for gray prediction.)