搜索资源列表
suiji
- 随机信号分析实验之白噪声测试，白噪声信号的特性，包括均值、方差、相关函数、概率密度、频谱及功率谱密度等。- White noise of test random signal analysis experiment, white noise signal characteristic, including average value , variance, correlation function, probability density, frequency spectrum and powe
plsa
- 该matlab代码实现了plsa算法。plsa全称是概率隐语义分析，是一个非常重要的隐语义分析模型。-This matlab code implements plsa algorithm, which is the short of probability latent semantic analysis and is a very important latent semantic analysis model.
Pr1
- 基于动态规划的检测前跟踪算法中恒虚警概率的理论计算程序-Pre-test based on dynamic programming tracking algorithm in constant false alarm probability calculation procedure
feinuo
- 费诺编码输入为+7个信源符号,其概率分布为：(其中信源符号用A+B、、G表示)A_0.2++B_0.19++C_0.18++D_0.17++E_0.15++F_0.10++G_0.01然后输入程序中得到结果（详细文档，值得一下）-Fenno+7 encoding of input source symbols, the probability distribution as follows: (in which source symbols with A+ B,, G said) A_0.2++
matlab-GM
- GM（1，1）源代码，计算原始数据的残差、关联度、小误差概率等。同时画出原始数据和预测数据对比图-GM (1,1) source code to calculate the raw data residuals, correlation, and so a small error probability. At the same time draw the raw data and forecast data comparison chart
PLF
- 应用于电力系统中的概率直流潮流算法，Probabilistic DC load flow-Applied to the probability of the DC power system load flow algorithm, Probabilistic DC load flow
fano
- 设有离散无记忆信源X,P(X)．二进制费诺编码为：1.将信源符号按概率从大到小的顺序排列2.将信源分成两组――按两组概率之差为最小分．3.上面一组编码为0，下面一组编码为1，一直分到一组只有一个信源为止．4.将一个信源分组得到的0和1全部连接起来，组成该信源的码字，信源即得到自己的费诺编码．-There be no X remembering the message source in case that having being scattered, binary Feinuo of P (X
PFAPd
- 基于动态规划的检测前跟踪算法中检测概率与恒虚警的关系程序-Based on dynamic programming tracking algorithm in the pre-test probability of detection and the relationship between the procedures CFAR
AV2PER
- MQL4语言开发的EA，趋势EA，每次下单量百分之2。三段移动止盈180点，止损60个点。适用于EURUSD小时线，并且平台为小数点后5位的平台（ECN）。稳定盈利，破产概率为0.-MQL4 language development of the EA, trends in EA, the amount of 2 percent each order. Move only three paragraphs 180 points profit, stop loss 60 points. EURUS
lzhang10-maxent-a139430.tar
- 基于最大熵原则利用样本信息生成概率估计 张乐博士 东北大学-Dr. Zhang Yue Northeastern University sample information generated probability estimates based on the principle of maximum entropy
support_detection
- 压缩感知的几种算法的检测概率的对比，M-OMP，MP，OMP-Several compressed sensing algorithm comparison of detection probability, M-OMP, MP, OMP
t-f-x2-matlab-program
- 本matlab程序对t，f，卡方三大概率分布进行绘图分析，绘制了每种分布不同参数下的曲线，可以直观的看出不同参数对不同分布的影响。-The matlab programs are the mapping analysis of three probability distribution (t, f, chi-square) .In the program, the distribution of different parameters are mapped . you can direct
SEA_det
- 多天线系统信号检测，最大释然概率算法，树型搜索-Multi-antenna system, signal detection, the greatest probability relieved algorithms, tree search
DoubleBall
- 双色球概率 C#源码 算法指南-Loans probability of C# source code
LZ78
- 实现LZ-78码的编码和译码程序，不必知道信源的概率分布，用于加深对ＬＺ－７８编码算法的理解。-Achieve the LZ-78 code encoding and decoding that we do not know the source of the probability distribution for the deepening of the LZ-78 encoding algorithm understanding.
RVM_matlabToolBox
- 相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好. -Relevance Vector Ma
huofuman
- 霍夫曼编码的基本方法是先对图像数据扫描一遍，计算出各种像素出现的概率，按概率的大小指定不同长度的唯一码字，由此得到一张该图像的霍夫曼码表。编码后的图像数据记录的是每个像素的码字，而码字与实际像素值的对应关系记录在码表中。-Huffman coding method is first scanned image data again, to calculate the probability of a variety of pixel specify a different length uniq
11_29_PPHT_and_Standard_H
- 在opencv下，利用标准霍夫变换和概率霍夫变换两种方式，进行了直线检测。都能很好的显示出来。-In the opencv environment, Using the PPHT and standard HT to detect lines in an image.
KsQuantile
- 利用正态分布和核密度估计计算分位数。包括正态分布分位数函数、核估计概率密度函数、核估计累计分布概率函数、核估计计算分位数函数。-Normal and kernel density estimation using sub-digit calculation. Including the normal quantile function, kernel estimate probability density function, cumulative distribution probabilit
bayesnetwork
- 用k2算法从先验概率构建贝叶斯网络，实现推理，结构学习，参数学习用贝叶斯方法。-K2 algorithm using Bayesian network built from the a priori probability to achieve reasoning, structure learning, parameter learning.