搜索资源列表
zexc
- matlab实现线性最小二乘，本人调试终于成功！代码得到极大地优化-Linear least squares matlab, debug, I finally succeeded! Code has been greatly optimized! ! !
lms
- 自适应最小均方lms算法，用matlab的m文件-Adaptive recursive least squares lms algorithm
bianshi
- 利用递推最小二乘法（Rls）的过程模型辨识，-The use of recursive least squares (Rls) the process of model identification,
Matlab_update_GSDLMS
- System identification with adaptive filter using full and partial-update Generalised-Sideband-Decomposition Least-Mean-Squares
Matlab_update_NLMS
- System identification with adaptive filter using full and partial-update Normalised-Least-Mean-Squares
Assignment_Bearings_Only_Measurement
- MATLAB Example Code : Non-Linear Least Squares --- Bearings-Only Measurement-MATLAB Example Code : Non-Linear Least Squares--- Bearings-Only Measurement
MIN
- 一次完成算法的最小二乘法的过程辨识代码。以m序列为输入量，用其lsim响应，作为辨识依据-One of the least squares algorithm to complete the process of identification code. To m for the input sequence with its lsim response, as a basis for identification
duojizuixiaoercheng
- 在系统辨识中，应用多级最小二乘可以很好的估计出噪声系数-In system identification, the application can be multi-stage least squares estimates of the noise figure
SimpleSENSEreconstruction
- 简单SENSE图像重建，即使通过反傅里叶变换重建出最终图像-The data was acquired from 4-channel array coil using EPI sequence (2-shot, matrix: 64X64, TE: 50 ms) at a 1.5T scanner. The code estimates the coil sensitivity profiles directly from the image with anatomical contrast b
ModelIdentification
- 关于模型辨识的MATLAB仿真源码。有使用最小二乘的建模，有极大似然估计建模的方法。每个重点例句都有详细的解释。-On the MATLAB simulation model of source identification. Modeling the use of least squares, and maximum likelihood estimation method of modeling. Each key has a detailed explanation of examples
fnnsb
- fnnsb函数是用来计算非负最小二乘拟合参数的，-fnnsb function is used to calculate the non-negative least-squares fitting parameters,
fit_ellipse
- 拟合椭圆的matlab代码，对给出的至少5个点的数据进行最小二乘拟合。-Elliptical fitting matlab code, at least for the given five-point least-squares fitting of data.
nmm105
- 线性方程组，非线性方程组，最小二乘拟合等数值算法的matlab实现。-Linear equations, nonlinear equations, numerical algorithm such as least-squares fitting of the realization of matlab.
1
- 最小二乘一次完成算法，压缩包里以给出数据，可以运行试试看。-A complete least-squares algorithm, data compression is given a bag, you can try to run.
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.
3
- 此算法为增广最小二乘法。uy2为含噪声数据，n=2,噪声模型n=2-The algorithm for least squares augmented. uy2 for data containing noise, n = 2, the noise model n = 2
4
- 此算法为最小二乘辅助变量法。uy2为含噪声数据，n=2,噪声模型n=2。左为输出数据，右为输入数据。k=2,3,4,5-Least-squares algorithm for the auxiliary variables. uy2 for data containing noise, n = 2, the noise model n = 2. Output data for the left and right for the input data. k = 2,3,4,5, etc.
Patternrecognition
- 模式识别基本方法matlab源代码，包括最小二乘法、SVM、神经网络、1_k近邻法、剪辑法、特征选择和特征变换。-Basic method of pattern recognition matlab source code, including the least squares method, SVM, neural network, 1_k neighbor method, editing method, feature selection and feature transformatio
zuixiaoerchengbianshi
- 递推最小二乘 辩识算法,算法简单易懂,按照系统辩识与自适应书上的算法编写-Recursive least squares identification algorithm easy-to-read, in accordance with the system identification and adaptive algorithm for the preparation of a book
zxecf
- 本人经过对最小二乘法拟合程序进行了归纳汇总编写了这个MATLAB小程序，一般情况都适用。-General least squares fitting procedure code