搜索资源列表
EM.zip
- EM算法简明教程 用于高斯分布隐马尔可夫模型的参数估计,Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models
-MUL_estimators-
- 本算法包括最大似然估计，最小二乘估计，基于EM算法的多种混合高斯分布估计，EM算法测试实例，绘制每种分布的plot函数。非常有参考价值！ - A Collection of Fitting Functions A collection of fitting functions for various Distributions. The provided files are an excellent source for EM based Matlab work.
memcof
- 最大熵法实现功率谱估计，内附算法实例及数据结果。-Maximum entropy power spectrum estimation method, containing the results of algorithm and data examples.
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- 可靠性估计时的二项分布风险评估实验的参数估计与预测算法-Reliability estimates of the binomial parameter estimation risk assessment and prediction of the experimental method
em-algorithm
- em算法论文 EM算法为有限混合模型的极大似然估计提供了一个标准框架。本文简单推 导了有限混合高斯分布的EM算法，并针对其收敛速度慢的缺点设计了一种有效 选取参数初始值的方法，数值实验表明，该方法有助于EM算法以较快的速度在 参数真值附近收敛。-em algorithm papers
kde
- 核概率密度估计算法，对于以往的有优化，可以得到概率密度及分布函数。-Nuclear probability density estimation algorithm optimized for the past there, you can get the probability density and distribution functions.
faohang
- 基于kaiser窗的双谱线插值FFT谐波分析，采用加权网络中节点强度和权重都是幂率分布的模型，esprit算法对有干扰的信号频率进行估计。- Dual-line interpolation FFT harmonic analysis kaiser windows, Using weighted model nodes in the network strength and weight are power law distribution, esprit algorithm signal fre
sou_ak67
- 采用加权网络中节点强度和权重都是幂率分布的模型，这是一个好用的频偏估计算法的matlab仿真程序,阐述了负荷预测的应用研究。- Using weighted model nodes in the network strength and weight are power law distribution, This is a useful frequency estimation algorithm matlab simulation program, It describes the appl