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mcIsing
- 用蒙特卡罗方法实现Ising模型，以一个概率模型为基础，按照这个模型所描绘的过程，通过模拟实验的结果，作为问题的近似解-Approximate solution of the Ising model using the Monte Carlo method, based on a probabilistic model for in accordance with the process depicted in this model, the simulation results, as the
perculation
- 数学分析研究的渗流perculation，任意输入边长n和概率p，n*n的方格图中所有长为1的边以概率p出现后的图形-The seepage perculation, of the mathematical analysis of arbitrary input side length n and the probability p, n* n grid graph all long for an edge with probability p appears graphics
forecast1130
- 自己辛苦编写的双色球彩票统计预测程序. 为得到下载积分,忍痛贡献. visual c++ 2010, 开发. windows 7 64bit, 16GByte内存需求, 4核处理器 并行计算, STL C++, 能够快速遍历计算全部号码分解组合的概率. 贡献出来心痛. 希望联系我,找份喜欢的工作.-souce codes of double Color ball lottery statistical forecasting program, desinged by mysel
queuing-theory_modle
- 当排队系统的到达时间间隔和服务时间的概率分布很复杂时，或不能用公式给出时，就不能用解析法求解。这就需要用随机模拟法求解。该实验用MFC程序模拟排队系统，分析模型。-Can not be used when the probability distribution of the queuing system, the arrival time interval and service time is very complex, or can not use the formula gives an
detect_pf_unknow_WGN
- 阵列信号处理白色高斯噪声下检测未知参数信号的概率-The probability of detection signals of the unknown parameters in the array signal processing white Gaussian noise
ReadCreat
- 模拟产生DNA READ文件 给予一个参考基因文件，可以产生single-end和 pair-end的模拟数据 支持10个以内的错误替换，可设置替换概率-To simulated DNA READ file given the probability of a reference gene files, can produce single-end and pair-end analog data to support error replace less than 10, and
xinyuanshang
- 从磁盘读入英文文档，计算每个字符出现的概率及文本的信源商-From the source disk reads English documents, calculate the probability of each character and the text of the letter
PNN-classification-prediction
- 针对变压器的故障诊断，通过概率神经网络对其进行分类。运行程序后，网络输出值和实际值非常接近，很好的实现了对变压器的故障分类。-For the transformer fault diagnosis, we use the probability neural network to classify it. After running the program, the network output value and the actual value is very close, which ac
match
- 数据分析是否有相同，分析相同的概率大小，进行计算匹配的相同的数组个数-Data analysis of whether there is the same analysis of the probability of the same size
myBayes
- 贝叶斯分类器的分类原理是通过某对象的先验概率，利用贝叶斯公式计算出其后验概率，即该对象属于某一类的概率，选择具有最大后验概率的类作为该对象所属的类-Bayesian classifier principle a priori probability of the object using the Bayesian formula to calculate the subsequent posterior probability that the object belongs to a certa
xindao
- 求信道容量的迭代算法，首先输入信道矩阵，开始是等概率分布，用C编写-Demand channel capacity iterative algorithm, first enter the channel matrix, began probability distribution, written in C
interrupt-probability
- 该程序仿真了不同的中级转发协议下，系统在不同信道下的中断概率-The program simulation different intermediate forwarding agreement, system in different channel of the interrupt probability
Code
- 产生一个长为1000的二进制随机序列，“0”的概率为0.8，”1”的概率为0.2； 对上述数据进行归零AMI编码，脉冲宽度为符号宽度的50 ，波形采样率为符号率的8倍，画出前20个符号对应的波形（同时给出前20位信源序列） 改用HDB3码，画出前20个符号对应的波形 改用密勒码，画出前20个符号对应的波形 分别对上述1000个符号的波形进行功率谱估计，画出功率谱 改变信源“0”的概率，观察AMI码的功率谱变化情况-Have a length of 1000 random bi
maep
- 在闭启键控通信系统中，两个假设下的观察信号模型为： 若两个假设的先验概率相等，且 , ,采用最小平均错误概率准则，试确定判决表达式，并求最小平均错误概率，利用MATLAB软件比较其理论值、仿真值。上述情况中，噪声 是均值为 ，方差为 的高斯噪声，仿真信噪比范围： ，间隔为 。 -In the closed Kai keying communication systems, the observed signal model under two assumptions: equal
function1
- 这是处理随机信号的比较经典且比较全面的代码。其中囊括了求解功率谱密度，概率密度，相关函数等等一系列的问题。-This is the classic and more comprehensive code dealing with random signals. Which include solving the power spectral density, probability density function, and so a series of problems.
huisulv
- 概率加回溯法求解八皇后问题，前k步使用概率法，后8-k步使用回溯法-Probability and backtracking to solve the eight queens problem, k steps before using the probability method, after the 8-k step backtracking
probility
- 使用纯概率法求解八皇后问题，按行随机选取可行位置-Pure probabilistic method to solve the eight queens problem, randomly selected row viable position
Untitled2
- 基于量子遗传算法的多目标优化，参数为种群规模m二50，量子位数n二2，转角步长初值氏=0.01二，变异概率p二二0.1，交叉概率Pc二0.8，限定代数丈~二5-Quantum genetic algorithm-based multi-objective optimization parameters for population size m 50, the quantum number n = 2, the corner step initial value s = 0.01, mutati
Pd_Pfa
- 在检测与估计中 仿真给出检查概率与虚警概率的关系 Pfa=1-Q(z),Pd=1-Q(z-d),画不同d情况下Pfa与Pd的关系图-In the detection and estimation of simulation shows that the relationship between the check probability and false alarm probability Pfa = 1-Q (z), Pd = 1-Q (zd), PFA and Pd diagram Vid
JPDA
- 在运动的位置叠加噪声。进行JPDA概率数据关联及kalman滤波。 两运动目标在x-y平面做匀速直线运动。初始位置是（4000,1200）（300,1500）速度分别是（200,200）（400,200）传感器对量目标进行位置状态量测。 采样间隔T=1,点数n=80.检测概率为1，正确量测落入跟踪内的概率为0.99，杂波均匀分布的密度为2个/km2由RAND函数产生在[0，1]上均匀分布的随机变量，跟踪门限为9.21。 -Superimposed noise in the posit