bpsk_ofdm_BCH_EN

Gauss-seidel迭代与两种Jacobi迭代的matlab实现(Gauss-seidel iterative realization of the matlab)

运用自相关法，周期图法和burg法分析加噪信号功率谱并比较(The use of auto-correlation method, periodogram analysis burg and noise signal power spectrum and compare)

one dimensional PCF band simulation(one dimensional simulation PCF band)

高斯积分，可以实现任意区域上的平面二重积分，可以带有参数。精确度高，希望对大家有用！(Gaussian integration can be achieved on any area of ​ ​ the plane of the double integral with parameters. Accuracy, we hope to useful!)

该压缩包中包含的程序均在MATLAB下开发，从功能上分为两类。第一类名字中包含SVC的程序，主要用来对两类数据进行分类，并可以生成分类结果图。第二类名字中包含SVR的程序，主要用来对高维数据集进行预测，并可以生成预测结果图。该类程序可以很好地解决SVM中的分类及预测问题。(The archive contains the MATLAB program are under development, from the functions are divided into two categories. The first category name contains the SVC process, mainly two types of data used to classify and to generate classification result. The second category contains the name of the SVR procedures, mainly used for high-dimensional data sets to predict and can generate predictions map. The application can be a good solution in SVM classification and forecasting problems.)

说明：  此程序为，布谷鸟搜索算法优化小波神经网络，适合初学者，看一下就明白。(This program is, cuckoo search algorithm optimization neural network, suitable for beginners, look at it to understand.)

此程序实现构造Daubechies小波基(this program structure Daubechies wavelet)

SVM implementation using matlab

本文基于毕肖普法和蒙特卡洛法,利用MATLAB编程软件计算了边坡结构的失效概率Pf和对应可靠指标β.在计算上述Pf和对应β时,考虑了土体三个主要基本参数(重度γ、内摩擦角(Ψ)、粘聚力c)的随机特性.利用MATLAB程序的计算结果表明,随机变量对边坡可靠度的影响与基本随机参数对抗滑反力的贡献大小有关,即,贡献大的基本随机参数,它的随机波动对结构失效概率Pf的影响也较大,反之亦然.另外,基于MATLAB的算例计算结果还表明:边坡结构失效概率Pf对内摩擦角(Ψ)较敏感,而对重度y和粘聚力c次之.其次,当同时考虑三个随机变量的联合波动对Pf的影响时发现,当它们在小范围内随机波动时,其联合特性对Pf的影响较敏感,但当它们在大范围内随机波动时,Pf主要受敏感随机变量的影响,而三个随机变量联合作用对Pf的影响和敏感随机变量(Ψ)单独作用时相差不大.由此可见,在实际边坡工程可靠性分析中,土体内摩擦角起主要作用,不容忽视.(Based Bishop method and Monte Carlo method, using MATLAB programming software to calculate the failure probability Pf and the corresponding slope reliability index β structure in the calculation of the above Pf and the corresponding β, consider the three main basic soil parameters (severe γ internal friction angle (Ψ), cohesion c) of the random nature of calculation results using MATLAB program shows that the influence of random variables on the reliability of the basic random slope parameters against anti- slip contribution to the size of the force , that is , the contribution the basic parameters of large random , random fluctuations which affect the probability of structural failure Pf is also larger , and vice versa addition, the calculation based on MATLAB numerical results also show that : the structure of slope failure probability Pf internal friction angle (Ψ) more sensitive , while severe and cohesion c y followed . Secondly, when taking into account the impact of the joint fl)

GPS的RMC、CGATT等格式帧的数据定位解析(GPS locate)