搜索资源列表
总体分布的非参数估计
- 在图像处理中经常涉及分类,多次有用到非参数估计。本程序用Parzen窗来估计,用随机高斯函数来作计策信号.-in image processing involves classification, the many useful to the non - parametric estimation. The procedure used to estimate Parzen window, using random Gaussian function to signal for the ploy
增广最小二乘估计
- 如果噪声e(k)为有色噪声时,采用最小二乘辨识系统参数为有偏估计,为改善噪声e(k)为有色噪声模型的系统参数估计的统计特性,提出一种增广矩阵的方法
Hurst参数估计方法
- 非平稳序列相关程度由Hurst参数确定,给出绝对值法,R/S,VT,周期图、小波等方法的参考程序。
GGD
- 自己编写的matlab程序,用于广义高斯分布的形状参数估计。-Matlab have written procedures for the generalized Gaussian distribution shape parameter estimation.
matlab simulation 卡尔曼滤波算法
- 卡尔曼滤波算法的仿真、最小二乘参数估计、整个电池管理系统的simulink仿真-Kalman filter algorithm simulation, least-squares parameter estimation, the whole of the battery management system simulink simulation
xunhuanpuguji
- 基于matlab实现的循环谱估计算法,可以对具有循环平稳特点的信号进行参数估计-Matlab-based spectral estimation algorithm to achieve the cycle, you can have the characteristics of the signal cyclostationary parameter estimation
RELS
- 增广最小二乘法参数估计,系统辨识,针对含有输出噪声的SISO模型。-Augmented least squares parameter estimation, system identification, aimed at containing the output noise of the SISO model.
GGM
- 用广义高斯模型(GGM)拟合分布代码,包括生成直方图,参数估计等-for GGM simulation
kuopinxinhaojiance
- 利用MATLAB对扩频信号进行检测和参数估计,结果表明本方法具有在低信躁比下检测的优势-The use of MATLAB for spread spectrum signal detection and parameter estimation results show that this method is in the low than under the letter impatient edge detection
levmar-2.3
- 最新的Levenberg Marquardt 算法。用于非线性最小二乘问题的参数估计和优化!-Latest Levenberg Marquardt algorithm. Nonlinear least squares problem for parameter estimation and optimization!
emgmm
- 本程序是EM算法,是参数估计(极大似然估计)方法的数值解法。-This procedure is the EM algorithm, is the parameter estimation (MLE) method of numerical solution.
minipro
- 该系统功能:实现手写识别,能通过对样例库中的数据进行学习,然后能判别、分类新的输入样例。其中包含了Kn近邻算法,贝叶斯参数估计的实现。实现了open test, close test等测试方法。-The system features: realization of handwriting recognition, through the library of sample data for study, and then to identify, classify the new input
m12_3
- 为了改善噪声e(k)为有色噪声模型的系统参数估计的统计特性,提出了一种增广矩阵的方法,称为增广最小二乘算法,MATLAB实现范例-In order to improve the noise e (k) for the colored noise model of the system parameters estimated statistical characteristics, an Augmented Matrix method, called Augmented Least Square
em
- 混合高斯概率密度模型,其参数估计可以通过期望最大化( EM) 迭代算法获得。-EM estimation parameters Gaussian mixture processes
UWB-LFM-signal
- 基于欠采样的超宽带线性调频信号参数估计,硕士论文-Due to sampling-based ultra-wideband LFM signal parameter estimation, master' s thesis
2
- 此算法为最小二乘参数估计的递推算法。运行后得到辨识参数:a1= -1.4981, a2= 0.7038, b1= 1.0476, b2= 0.4704。-The algorithm for the recursive least squares parameter estimation algorithm. After operation to identify the parameters: a1 =-1.4981, a2 = 0.7038, b1 = 1.0476, b2 = 0.4704.
第5章 参数估计与假设检验
- 学习利用matlab软件进行参数估计与假设检验源代码(Learning to use MATLAB software for parameter estimation and hypothesis testing source code)
参数估计与假设检验
- 以具体案例通过matlab介绍参数估计和假设检验这两种统计推断形式(In this paper, two kinds of statistical inference forms are introduced by MATLAB, which are parameter estimation and hypothesis test)
卡尔曼滤波参数辨识kf13
- 卡尔曼滤波参数估计,基于无迹卡尔曼滤波算法,对状态变量进行参数估计(Calman filter parameter estimation is based on the unscented Calman filter algorithm for parameter estimation of state variables.)
锂离子电池一阶等效模型的参数估计
- 锂离子电池一阶等效模型的参数估计,MATLAB/simulink(Lithium-ion battery 1rc equivalent circuit model-MATLAB/simulink)