搜索资源列表
suijiguocheng
- 哈尔滨工程大学研究生随机过程实验作业,里面有作业matlab源程序-Harbin Engineering University Graduate random process lab assignments, which has an operating matlab source
suijxhlumianbuping
- 随机过程路面不平研究(有论文)有代码有图什么都偶看的 非常详细,我帮一个人专门写的-Random the process uneven pavement research (thesis) code, figure what even very detailedI can help one person specifically written
random
- 本程序是在随机过程的学习中的一个必要章节,程序对计算机中随机数的产生过程进行了模拟-This program is a necessary chapter in the random process of learning, and random number generation process computer simulation program
mashilian-moxing
- 马氏链模型 经典数学算法之一 在随机过程中很有用-One of the Markov chain model of classical mathematical algorithm useful in a random process
motecalo
- 蒙特卡洛(Monte Carlo)模拟是一种通过设定随机过程,反复生成时间序列,计算参数估计量和统计量,进而研究其分布特征的方法。具体的,当系统中各个单元的可靠性特征量已知,但系统的可靠性过于复杂,难以建立可靠性预计的精确数学模型或模型太复杂而不便应用时,可用随机模拟法近似计算出系统可靠性的预计值;随着模拟次数的增多,其预计精度也逐渐增高。由于涉及到时间序列的反复生成,蒙特卡洛模拟法是以高容量和高速度的计算机为前提条件的
project
- markov随机过程实现方法,比较简单的实现方法-the markov random process method, relatively simple method
Matlab-to-generate-random-numbers
- 随机过程中产生随机数的matlab实现,里面是产生正态、泊松、伯努利的代码和文档,还有对各种随机数的分析-Generate random numbers in the random process matlab to achieve, which is to produce normality, Poisson, Bernoulli code and documentation, as well as analysis of various random number
Random-process-experiments
- 随机过程实验(研一)包含的程序:离散时间马尔可夫链、连续时间马尔科夫链、布朗运动。-Random process experiments (yanyi) program included: discrete time Markov chains, continuous-time Markov chains, Brownian motion.
maerkefu
- 马尔科夫随机过程(已知起始位置和转跳次数)的matlab 仿真-The markov stochastic process (known initial position and turn jump frequency) of matlab simulation
matlab_poisson-process-
- 随机过程中的泊松过程仿真实验,协方差,matlab-Stochastic poisson process simulation in the process of the experiment
K_dis
- 海杂波相关K分布建模,使用球不变随机过程方法实现,概率密度曲线和功率谱-K distribution of sea clutter modeling spherically invariant random process method, the probability density curve and power spectrum
stochastic-matlab
- 关于用MATLAB处理随机过程课程的程序编写介绍.-About using MATLAB program to deal with random processes course to write the introduction.
SIMULATION-OF
- 真实路面的函数可以描述为路面不规则函数q=q(x,y),其x和y坐标轴分别表示纵向和侧向轴。路面不平度被描述成具有高斯分布、稳态阶段、遍历性和零均值的随机过程。因此我们可以利用自己定义的单个轨迹和相干函数的二平行轨迹的功率谱密度来描述路面不平度。自定义的单轨迹功率谱密度可用如下方程描述:-In ride comfort research, it is important to simulate the vibration of automobile on uneven road. To buil
Sampling-and-interpolation-
- 平稳随机过程的采样与插值,分别在M取2、4的情况下进行采样并分析插值后的信号还原与原信号的比较-Sampling and interpolation of stationary random process
hmm
- 隐马尔可夫过程是一个双重随机过程:一重用于描述非平稳信号的短时平稳段的统计特 征(信号的瞬态特征,可直接观测到);另一重随机过程描述了每个短时平稳段是如何转变 到下一个短时平稳段,即短时统计特征的动态特性(隐含在观察序列中)-Hidden Markov process is a doubly stochastic process: a weight used to describe the non-stationary signal short plateau statistical S
Wiener-filter
- 维纳滤波是利用平稳随机过程的相关特性和频谱特性对混有噪声的信号进行滤波的方法-Wiener filtering is the use of stationary random process related characteristics and spectral characteristics of the signals mixed with noise filtering method
stochastic_processes
- an_introduction_to_stochastic_processes书中的源代码,对学习随机过程很有帮助-an_introduction_to_stochastic_processes the book' s source code, to learn helpful stochastic processes
Chapter2
- 随机过程中的高斯-马尔科夫过程,以及产生的概率密度函数-The Gaussian random process- Markov process, and the resulting probability density function
dsp
- 随机过程: ,其中 是均值为零、方差为1的白噪声, 、 是相互独立并在 上服从均匀分布的随机相位。采用AIC和MDL准则估计信号源个数,并且画出相应的MUSIC频率估计谱线。 要求:信号样本数为1000,估计的自相关矩阵为8阶。 -Stochastic process: where is zero mean and variance 1 white noise, are independent and uniformly distributed on a random phase. Es
JakesRayleigh
- 本程序将一随机信号通过瑞利信道产生输出,并用Jakes方法产生单径的符合瑞利分布的复随机过程-This procedure will be a randomly generates an output signal through Rayleigh channel, and use Jakes method produces single-path Rayleigh distribution meet the complex stochastic process