搜索资源列表
EM_Algorithm
- 介绍期望最大算法基本原理及聚类实现，可以很好的对多个高斯概率密度分布进行分类-Introduces the basic principle and expectation maximization clustering algorithm to achieve, can be good for multiple Gaussian probability density distribution of the classification
Numerical-methods-for-SDE
- 随机动力系统的稳态概率密度，适合从事随机动力学的研究的人-Steady-state probability density power systems
stblrnd
- alpha稳定分布的函数。该分布是一种连续概率分布，其概率密度比高斯分布概率密度有更厚的拖尾，是一类适用范围很宽的随机信号模型，比高斯分布有更广泛的适用性。-Alpha stable distribution function. This distribution is a continuous probability distribution, the probability density are thicker than gaussian probability density trai
CHAOGAOSI
- 研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 -Recent research indicates that the speech spectral ampli
testMeanShift
- 基于Opencv的MeanShift跟踪代码。MeanShift算法是目标跟踪领域应用较广泛的算法，轻量级，原理是求概率密度最大位置。-Opencv based MeanShift tracking code. MeanShift is widely used in object tracking. lightweight. the principle is to find the probability density maximum position.
voice-box-GMM
- 语音处理GMM相关算法,1.计算概率密度并画出高斯混合模型，2.计算边际，条件混合高斯密度,3估计两个GMM模型的Kullback-Leibler divergence。-GMM relating to speech processing algorithms.1,to calculate probability densities from or plot a Gaussian mixture model.2,marginal and conditional Gaussian mixture
Ch4
- 基于贝叶斯训练的算法识别，对多类问题进行识别分类，用已知类别样本训练出类概率密度，从而对未知类别问题进行识别。-Recognition algorithm based on Bayesian training for multi-class classification problems are identified, trained with known classes of samples class probability density, thereby identifying the
6
- ex6_1 ～ ex6_3二项分布的随机数据的产生 ex6_4 ～ ex6_6通用函数计算概率密度函数值 ex6_7 ～ ex6_20常见分布的密度函数 ex6_21 ～ ex6_33随机变量的数字特征 ex6_34 采用periodogram函数来计算功率谱 ex6_35 利用FFT直接法计算上面噪声信号的功率谱 ex6_36 利用间接法重新计算上例中噪声信号的功率谱 ex6_37 采用tfe函数来进行系统的辨识，并与理想结果进行比较 ex6_38 在置信度为0
Baum_Welch-algorithm
- 用Baum-Welch算法来迭代估计一个隐马尔科夫模型（HMM）的初始状态概率分布以及其状态转移概率矩阵。其中文件有mainfile_B_W.m为主函数，Baum_Welch.m为Baum-Welch算法迭代函数，Forward_variable.m与Backward_variable.m与Gamma_variable.m与Ksi_variable.m是需要计算的四种因子，B_pdf.m为混淆散射概率密度函数。-It s Baum-Welch algorithm for iteratively
wfg
- MATLAB实现最大似然估计，本程序可以实现概率密度函数已知的情况下5个参数的估计~-MATLAB to achieve maximum likelihood estimation, the program can be achieved under the circumstances known to the probability density function estimation parameters 5 ~
lizilvbo
- 利用粒子滤波通过融合颜色信息和运动信息来计算粒子权值法，适用于任何分布的状态估计问题，是用一些离散随机采样点来近似系统随机变量的概率密度函数-Particle filter information through the integration of color and motion information to calculate particle weights method for estimation of the distribution of any state, with a nu
ex9_9
- 杂波K分布波形，功率谱密度函数波形，概率密度函数波形-K distribution clutter waveform, power spectral density function waveform, the probability density function waveform
knn
- K近邻（KNN）：分类算法KNN是non-parametric分类器（不做分布形式的假设，直接从数据估计概率密度），是memory-based learning KNN不适用于高维数据（curse of dimension）-K-Nearest Neighbor (KNN): Classification Algorithm. KNN is a non-parametric classifiers (not to assume that the distribution of forms, fr
FFTanalsis
- FFT 概率密度函数估计 概率论与数理统计-FFT probability density function estimation
ALLAN-VARIANCE-design
- 科学研究对大量实验数据基本处理一般包括求均值、方差等。现假设有一检测量，其实验测量值服从正态概率密度分布，对于此服从正态分布的数据进行阿伦方差处理，并将结果图形化显示出来。-Basic scientific research on a large number of experimental data generally includes the mean, variance. We leave a measurement, the measured values obey normal pro
Les-decline-model
- 莱斯衰落模型 包括衰落幅度和概率密度 是一个很好的程序-Les decline model Including the decline range and probability density is a very good program
BKSA_BSS
- 一种新的基于峰度的盲源分离开关算法（附参考文章），无需假设源信号的概率密度函数, 可直接对独立分量分析中的激活函数进行自适应学习。-A New kurtosis switching algorithm for blind source separation (with reference to the article), without assuming that the probability density function of the source signal, independent
copulafit
- MATLAB小程序，COPULA函数对计算多元统计量的联合概率密度！-MATLAB small programme, which is used to calculate the Copula Function.
Parzen-window
- 这是一个有关parzen窗估计的代码，用来估计概率密度函数。采用了方窗、指数窗、高斯窗函数三种核函数，附有matlab程序。-This is an estimate of the code related to parzen window, used to estimate the probability density function. With a side window, the index window, Gaussian window function three kinds of
UKF
- ukf在MATLAB下的仿真程序，ukf是对非线性函数的概率密度分布的近似估计。-The UKF s simulation program in MATLAB, UKF is the estimate of the probability distribution of nonlinear function.