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mexSparseLogical0Diag
- Because of memory constraints, it is often impossible to change by subscr ipt all the elements of a large sparse matrix to zero. This leads to changing the elements in a loop, which is horrendously slow. This mex solves that problem. Usage: B =
cgls
- 用于解反问题的共轭梯度法，对于Ax=b，输入矩阵A，列向量b，以及迭代步数k，可求的列向量x-Solution of inverse problems for the conjugate gradient method, for Ax = b, the input matrix A, the column vector b, as well as the number of iterations k, rectifiable column vector x
mr2
- 用于解反问题的算法，对于Ax=b，输入矩阵A，列向量b，以及迭代步数k，可求的列向量x-The algorithm for solution of the inverse problem, for Ax = b, the input matrix A, the column vector b, as well as the number of iterations k, rectifiable column vector x
nu
- 用于解反问题的算法，对于Ax=b，输入矩阵A，列向量b，以及迭代步数k，可求的列向量x-The algorithm for solution of the inverse problem, for Ax = b, the input matrix A, the column vector b, as well as the number of iterations k, rectifiable column vector x
adc3
- take a input vector which is no of users of b[kx1] and code vector which will be a matrix now s=[Nxk],where then give to matched filter,non-correlating detector, by randomised sequence.-take a input vector which is no of users of b[kx1] and
3
- 1、随机生成一个5*5矩阵A，元素符合均匀分布；再随机生成一个5*5矩阵B，元素符合正态分布。对A和B进行加、减、乘、除、比较等矩阵运算，查看运算结果。 2、创建5阶魔术矩阵，求A的行列式、特征值、逆、秩、迹、条件数。 3、假设矩阵 ，求A的LU分解、正交分解、特征值分解、奇异值分解。 4、创建6阶单位稀疏矩阵，并显示其全部元素。 -1, randomly generated a 5* 5 matrix A, elements in line with uniform
ols
- 正交最小二乘辨识算法 该算法除了实现最小二乘辨识功能之外而且能按照各项重要性将其逐一选出并且估计相应系数-OLS Orthogonal Least Quares. [x, ind] = OLS(A,b,r) gives the solution to the least squares problem using only the best r regressors chosen from the ones present in matrix A. This
marombmasimp
- 格式：x=masor(A,b,omega,x0,ep,N) A为系数矩阵，b为右端向量， 用途：用复辛普生形公式求积分。- Format: x = masor (A, b, omega, x0, ep, N) A as the coefficient matrix, b for the right-hand side vector, Uses: The complex shape Simpson quadrature formula.
matlab
- jpeg to data matrix in r,g,b
Floyd-Matlab
- floyd算法的matlab程序 floyd-最短路问题 输入： B-邻接矩阵(bij)，指i到j之间的距离，可以是有向的。 sp- 起点标号。 ep- 终点标号。 输出： d- 最短路的距离。 path-最短路的路径。-floyd algorithm matlab program floyd-shortest path problem Input: B-adjacency matrix (bij), refers to the distan
Embiggen
- Add (or multiply, divide, etc) a matrix A to a vector b with the simple syntax A + Embiggen(b)
fecgm
- 独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank.
fisher
- 费希尔线性判别分析代码 Find the Fisher linear separator w (a column vector). X is is the training set (X is a matrix. Each row of X is a vector containing the features of a single sample). y is a column vector with the labels of the training set (1
siyuanshu2
- 不同坐标系下相同测量点之间的四元数转换矩阵求解，可以此来求解坐标系A到坐标系B之间的转换矩阵-Different coordinates between the same measurement points quaternion transformation matrix solution can be used to solve this coordinate system A to coordinate system transformation matrix between B
pls
- 输入自变量与因变量，输出x。y主成分、负荷及回归系数- Inputs: x x matrix y y matrix Outputs: t score for x p loading for x u score for y q loading for y b regression coefficient
originalsimpleM111.m
- 原始单纯形法（大M法，无需给出初始基变量）。输入：C是n维行向量，A是m*n的系数矩阵，b是m维列向量 输出：x最优解（如果有的话），fval最优值，flag解的状态说明，interation求解时的循环次数-The original simplex method (big M method, without giving the initial basic variable). Input: C is the n-dimensional row vector, A is the coef
lbg
- 本程序可以将一个给定线性系统转换成龙伯格能控/能观II型。此线性系统由A,B,C,D四个矩阵描述-This program can transform a given linear system controllability Jackie Berg/observability II type. This linear system is composed of A, B, C, D four matrix descr iption
givenhousehold
- 利用该程序可计算任意对称矩阵M，给出区间(a,b)上的特征值个数-Calculated using this program any symmetric matrix M, gives the interval (a, b) on the eigenvalues
amaterial5
- 复合材料属性矩阵A，B,D,As的确定，通过这些矩阵可以计算材料刚度矩阵-form material matrix of composite material
assign3_m100295cs
- a) On sample artificial, 8X8 / 16X16 images, take the DFT, DCT, WT, & HT. Print the image & transform matrix side by side b) Repeat the above on real images of size 256X256, and display the transform coefficients as 8-bit intensity images along