lvbo

使用Matlab编程，对教材74页例3.3.1进行编程仿真。其中，正电压A的值、噪声方差值、每个码元周期内的采样点数N自行设定（可设置为可调的变量）。噪声值可使用Matlab中产生高斯随机数的函数来进行仿真。贝叶斯检测判决式中，先验概率P(H1)=P(H0)，判断错误的代价因子设为1，判断正确的代价因子设为0. 按照上述参数的设定进行仿真，实现对仿真数据的贝叶斯检测判决；循环生成仿真数据，并进行判决结果的统计，即记录判决正确的次数，估计正确判决的概率。(The use of Matlab programming, teaching materials 74 pages of 3.3.1 programming simulation. Among them, the value of positive voltage A, the variance of noise, the number of sampling points in each symbol cycle (N) can be set by itself (adjustable variable). Noise values can be simulated using the function of generating Gauss random numbers in Matlab. In the Bias detection decision, the prior probability P (H1) =P (H0), the factor of error judgment is set to 1, and the correct cost factor is set to 0. According to the simulation parameters and realize the judgment of Bayesian detection simulation data; generating cycle simulation data, statistics and decision, which records the correct number of judgment, the estimated probability of correct decision.)

贝叶斯统计推断相关资料和贝叶斯方法，学习贝叶斯不错的资料(Bayesian statistical inference related data and bayesian methods, learning bayesian good data)

利用emd算法解决经验模式分解的一些存在的端点效应问题。 有效的解决了问题。(Using emd algorithm to solve some of the empirical mode decomposition end effects exist. Effective solution to the problem.)

FFT源代码 FFT源代码 FFT源代码(FFT source code FFT source code FFT source code)

说明：  这是高斯列主元消去法的完整程序，可以求解线性方程组(This is the Gaussian elimination method PCA out a complete program, you can solve the linear equations)

求边界层方程的相似解法，使用四阶四级经典龙格库塔方法推进，适用于平板边界层，绕楔形体边界层流动等(Seeking boundary layer equations similar solution, using fourth-order Runge-Kutta method to promote four classic for boundary layer around the wedge boundary layer flow, etc.)

使用经典R/S方法计算赫斯特指数，以衡量数据的分型特性(using R/S method to caculate the Hurst exponent)

说明：  同时求取不同信号的多个时域特征参数，可以随意更换待分析信号(Multiple time domain characteristic parameters of different signals are obtained at the same time.)

说明：  分段三次Hermite插值法 样条插值 切比雪夫最佳一致逼近 Legendre、 Laguerre、Hermite多项式主函数 牛顿 插值(Piecewise cubic Hermite interpolation)

说明：  此程序为分段最小二乘算法曲线拟合,可对一模型进行分段拟合,增加准确性和精确度.(This program is sub-least-squares curve fitting algorithm can be fitted to a sub-model to increase the accuracy and precision.)