ranking

this code helps to find the answer through newtons interpolation method

tigth subplot in figures

说明：  通过MATLAB源码可以设计多种分数阶延时滤波器。(methods to design fractional delay filter)

短波信道建模中几篇具有里程碑意义的论文英文原文。(HF channel modeling in several landmark papers in English text.)

迭代生成LDPC码矩阵，初始矩阵为三行三列各元素均为1的矩阵。根据其tranner图依次迭代产生新的矩阵。(structural properties: (1)Each line is composed of p points (2)There is one and only one line between any two points (3)Each point lies on b lines (4)Any pair of lines has at most one common point )

最短路径dijkstra算法的MATLAB实现(MATLAB implementation of the shortest path Dijkstra algorithm)

说明：  对海浪数据处理得到海浪谱。可以模拟不同风速产生的海浪谱，并得到一维海面分布。(Propose the wave hight data and spectrum analysis.Wave spectrum generated by different wind speeds can be simulated and one-dimensional sea surface distribution can be obtained.)

线性调频信号是一种雷达常用的电磁波信号，当雷达信号检测到目标时候，反射后得到雷达回波信号，此时由于多普勒效应，信号的频率发生偏移，这个源码仿真出雷达检测到目标距离信息的回波信号。(LFM signal is a commonly used electromagnetic radar signal, when the radar signal detection to the target time, after reflection of radar echo signal, at this time due to Doppler effect, the signal)

汽车高斯曲面拟合 --- 2程序，以适应到表面二维高斯： 子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的 这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。 autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。 autoGaussianSurfGS（十一，彝，紫）的估计，通过指定数据的贝叶斯生成模型，然后采取通过从模型吉布斯抽样样本后ofthis模型参数。这种(Auto Gaussian Surface fit --- 2 routines to fit a 2D Gaussian to a surface: zi = a*exp(-((xi-x0).^2/2/sigmax^2+ (yi-y0).^2/2/sigmay^2))+ b The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. autoGaussianSurfML(xi,yi,zi) fits the model parameters through maximum likelihood(least-squares). It first evaluates the quality of the model at many possible values of the parameters then chooses the best set and refines it with lsqcurvefit. autoGaussianSurfGS(xi,yi,zi) estimates the model parameters by specifying a Bayesian generative model for the data, then taking samples from the posterior ofthis model through Gibbs sampling. This method is insensitive to local minimain posterior and gives meaningful error bars (Bayesian confidence intervals))

说明：  实现匹配滤波仿真的两个程序，每个程序生成四个图，可以通过比较验证信号的时延不影响匹配滤波的输出信噪比，及不同信号信噪比与信号波形无关，只与信号能量有关(Matched filter to achieve the two simulation procedures, each of the programs to generate the four plans, you can verify by comparing the signal delay does not affect the matched filter output signal to noise ratio, and different signal-noise ratio and signal wave has nothing to do only with the signal energy relevant)