搜索资源列表
AD
- 基于原子分解的调频信号参数识别算法估计性能得到了很到的提高-paramater estimation of modulated signal based atomic decomposition
AR
- 这是我自己编写的估计AR模型参数的M代码，利用的是LD算法，里面有注释，便于理解，值得推荐！-Calculates adaptive autoregressive
RSmatlab
- R/S分析法计算logRS值, 然后通过最小二乘法回归即可得到hurst参数的估计值.-R/S analysis method logRS value, and then return can be obtained through the least square method hurst parameter estimate.
canshujuguji
- 数理统计里的必学内容，参数矩估计的c语言编程实现-Statistics will study the contents inside, parameter moment estimation of the c language programming
puguji
- 几种AR模型估计参数，是关于我们老板上课课件上的-Several parameters of AR model estimation
window
- 分别用非参数化谱估计中的直接法，间接法和加窗法对离散随机过程的已零均值化的N个数据样本估计了离散信号的谱密度。-Were non-parametric spectral estimation of the direct method, indirect method and windowing method, discrete stochastic process has zero mean the data of the N-sample estimates of the spectral d
ESPRIT
- 借助旋转不变技术估计信号参数esprit，子空间估计doa方法-With ESPRIT Estimation of Signal Parameters esprit, subspace estimation method doa
waveformestimation
- 用小波变换来对跳频信号进行分析，并估计参数，是一个叫好的办法-Wavelet transform of the frequency hopping signal is analyzed and estimated parameters, is a way to applause
timerador
- 用时频分析来对跳频信号进行分析，并估计参数，是一个叫好的办法-Wavelet transform of the frequency hopping signal is analyzed and estimated parameters, is a way to applause
Levinson_Durbin_Algo
- 功能描述：用matlab语言实现Levinson-Durbin算法 函数名：Levinson_Durbin_Algo 输入参数： (1)R:自相关矩阵或者其估计值 (2)P:AR模型的阶数 输出参数： (1)A:p阶AR模型的参数,它是一个长度为P+1的行向量 (2)E:噪声功率 调用函数：无 被调用：L_D_sim.m 作者：mingcheng 编写时间：2009-11-13 修改时间：2009-11-1
bishecode
- 这个程序是用在LDPC加EM中的，自己编的有很好的性能，用来估计依稀未知的参数，比如相偏频偏之类的-This procedure is used in LDPC EM in Canada, his series have good performance, used to estimate the unknown parameters vaguely, such as phase offset of the class of partial
PIpmsm
- 参数自整定PI估计器在永磁同步电机直接转矩控制中的应用研究的硕士论文。很有参考价值。-Parameter self-tuning PI estimator in the permanent magnet synchronous motor direct torque control of the applied research, Vol. Great reference value.
EulerFHN1
- 自适应控制的方法估计动力系统参数，把待估参数作为一个状态变量来处理-parameter estimator adaptive control
Programs_17a
- 时间序列分析模型构建方法、过程及步骤,并通过假设的时间序列用MATLAB软件,实现了模型的定阶、模型参数的估计过程。-To get the Lds MOdel.
xijun
- 本文提出了一种新的基于细菌生存优化(Bacterial Foraging Optimization –BFO)的非线性模型辨识方法。它是利用群集智能仿生BFO算法对一类Hammerstein系统进行辨识，从而估计出它的参数模型-This paper presents a new optimization based on bacterial survival (Bacterial Foraging Optimization-BFO) nonlinear model identification
h
- 基于线性广义逆矩正线性模型参数的最小二乘在线估计-Generalized inverse of linear moment is the least squares linear model is estimated online
Dimensional-parameters-of-acoustic-signals-is-esti
- 估计声信号二维参数的免疫量子克隆算法Dimensional parameters of acoustic signals is estimated quantum immune clone algorithm-Dimensional parameters of acoustic signals is estimated quantum immune clone algorithm
Recursive_maximum_likelihood_parameter_estimation.
- 递推极大似然估计法参数辨识的MATLAB源码-Recursive maximum likelihood estimation MATLAB source parameter identification
zhijiefapuguji
- 估计功率谱密度的平滑周期图是一种计算简单的经典方法，其主要特点是与任何模型参数无关，是一种非参数化的方法。-Estimated power spectral density is a smooth periodogram simple classical calculation method, the main feature is not related to any model parameter, is a non-parametric methods.
lsandsvd-tls
- 用一般的最小二乘方法和SVD—TLS（总体最小二成）方法估计观测数据的ARMA模型的AR参数。-Least squares method and with the general SVD-TLS (Twenty-general minimum) to estimate the ARMA model of observed data AR parameters.