搜索资源列表
mregress
- 最小二乘法回归，输入因、自变量，输出回归系数，T值,R平方等-least squares regression, imports, since the variables, output regression coefficient, T, R-squared, etc.
ssd.m
- SSD - Sum of squared Differences
RLS_Noise
- Recursive Least Squared method is implemented this time by adding noise to input. This program objective is to identified parameters of third order transfer function.
Circle-Fit
- 这次上传的程序源码是关于根据给定的xy点，拟合一个圆，依据是半径平方偏差的和。-The upload program source code is about according to the given xy point, fitting a circle, based on the radius squared deviations and.
ls
- 用LS算法实现共512个数据的预测，并得到误差平方的仿真图-LS algorithm with a total of 512 data, forecasts, and get squared error of the simulation diagram
dm_demo
- MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems. amr amin: code on the application of channel equalization in digital communication sys
LSFS
- 有监督的特征选择和优化程序MATLAB代码，基于最小二乘算法。内有测试数据，和详细程序说明-Least-Squares Feature Selection (LSFS) is a feature selection method for supervised regression and classification. LSFS orders input features according to their dependence on output values. Dependency bet
j03_samsims
- Blind, Adaptive Channel Shortening by Sum-squared Auto-correlation Minimization (SAM)," IEEE Trans. on Signal Processing, December 2003. The two zip files below should be installed in parallel. -Blind, Adaptive Channel Shortening by Sum-squared
bpsk
- 层空时码有三种普遍的检测算法：最大似然（Maximum Likelihood ,ML）检测算法、迫零（zero forcing ,ZF）检测算法、最小均方误差（Minimum Mean Squared Error,MMSE）检测算法。-There are three layers in general space-time code detection algorithms: maximum likelihood (Maximum Likelihood, ML) detection algori
gmdh_example
- GMDH_main为GMDH主函数； variable_Combin为输入层初始变量选为x1,x1^2,x1*x2,x2^2,x2时的输入变量矩阵值 variable_select计算X_train训练输入数据,Y_train训练输出数据,X_test测试输入数据,Y_test测试输出数据 Combin为求变量的两两组合 Sym_Combin为求符号变量的两两组合 PE_AIC求每层各神经元的参数估计W，及训练数据在参数估计后估计的输出out_train，测试数据在参数估计后
zernike
- compute zernike moments for squared binary images
disteusq
- 声音处理的MATLAB程序：DISTEUSQ -calculate euclidean, squared euclidean or mahanalobis distance
zeroDOA
- cosine和cosine平方加权的零点图。-Zero plots for cosine, cosine squared weightings
New-Text-Document
- The program RANDOM_WALK_2D_PLOT plots the trajectories of one or more random walks. The program RANDOM_WALK_2D_SIMULATION plots averaged data for any number of random walks that each use the same number of steps. The data plotted is the average
circle_fit
- Revival of a 14 years old code (written in 1991 for MATLAB 2.x). Given a set of measured x,y pairs that a re supposed to reside on a circle, but with some added noise. A circle to these points, i.e. find xc,yc,R, such that (x-xc)^2+(y-yc)^2=R^2
Qchipr2
- 此程序给出了计算中心和非中心卡方分布的右尾概率的matlab程序- This program computes the right-tail probability of a central or noncentral chi-squared PDF.
Process
- Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reductio
flower
- 对花卉的数据集分别通过“五折法”、随机产生训练样本、欧式平方距离、绝对值距离、契比雪夫距离和马氏距离进行数据集的识别。-Data sets, respectively, for flowers through the " half of Law" , randomly generated training samples, European squared distance, absolute distance, Chebyshev distance and Mahalanobi
qushimian
- 这是一个二次趋势面的参数估计和R方的计算的检验-This is a quadratic trend surface of the parameter estimates and the R-squared test calculation
K-means-clustering-algorithm
- K均值算法使用的聚类准则函数的误差平方和准则，通过反复迭代优化聚类结果，使所有样本到各自所属类别的中心的距离平方和达到最小。-K-means clustering algorithm uses squared error criterion function and criteria through iterative optimization clustering result, all the samples to the respective classes of the center s