Newton

仿真产生十种概率分布的随机序列，包括均匀分布、高斯分布、指数分布、广义指数分布、混合指数分布、韦布尔分布、瑞利分布 广义瑞利分布、拉普拉斯分布、柯西分布等，并进行参数检验，概率分布检验和独立性检验(Simulation produces ten kinds of probability distribution of random sequences, including uniform, Gaussian, exponential, generalized exponential distribution, mixed exponential distribution, Weibull distribution, Rayleigh distribution of generalized Rayleigh distribution, the Laplace distribution, Cauchy distribution etc., and parametric tests, the probability distribution of test and independence test)

【谷速软件】matlab修改-GMM的EM算法实现 可以用着参考使用 ([Valley] matlab software modification-GMM speed of EM algorithm can be used with reference to the use of)

MATLAB雨燕程。电力系统电压骤降信号的小波分解结果(MATLAB Swift away. Power system voltage sag signal wavelet decomposition results)

说明：  脉冲不变法变换巴特沃思低通滤波器设计 基于matlab仿真编程(pulse unchanged France transform Butterworth low-pass filter design based on Matlab simulation programming)

这是关于机器人路径规划的遗传算法代码.代码简单实用，非常适合初学者学习参考。(This is the code genetic algorithm of robot path planning. )

说明：  克里格法（Kriging，KRG）是由法国统计学家 Matheron 于 1963 年提出的，为纪念南非金矿工程师 Krige（Krige, 1951）曾于 1951 年使用回归方法对空间场进行预测的开创性研究，Matheron 将该方法命名为 Kriging，最开始该方法常被用于对矿产储量分布情况进行预（Matheron, 1963）。目前该方法作为最常用的空间插值算法，被广泛应用于地理科学、环境科学、大气科学等研究中。(Kriging (KRG) method was proposed by Matheron, a French statistician, in 1963. In order to commemorate the pioneering research of Krige (1951), a gold mine Engineer in South Africa, who used regression method to predict the spatial field in 1951, Matheron named this method Kriging. At first, this method was often used to predict the distribution of mineral reserves (Matheron, 1963) . At present, as the most commonly used spatial interpolation algorithm, this method is widely used in geographical science, environmental science, atmospheric science and other research.)

基带系统的蒙特卡罗仿真，眼图程序，多径信道均衡，信道传输函数(baseband system Monte Carlo simulation, eye procedures, multi-path channel equalization, channel transfer function)

说明：  模拟计算一维热传导的问题,热传导的边界条件是两端绝热. (Simulation of one dimensional heat conduction problem, heat conduction across the boundary condition is adiabatic.)

亲自调试，绝对可用。用以生成16/32-APSK，若无法使用请看下载说明txt。(Personally debugging, absolutely available. To generate a 16/32-APSK, if they do not see the download instructions- txt.)

MATLAB structures provide a way to collect arrays of different types and sizes in a single array. The following codes show how this can be made for problem1.m. One of the most interesting features is that the argument passing to functions is simplified. MATLAB codes for Finite Element Analysis problem1.m antonio ferreira 2008