代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
代码结果 10,000
www.eeworm.com/read/168118/9938618
m del2_9pt.m
function [output]=del2_9pt(input,delx);
% DEL2_9PT ... compute the 9 point Laplacian
%
% [output]=del2_9pt(input,delx)
%
% DEL2_9PT computes the 9 point approximation to the laplacian operator o
www.eeworm.com/read/167879/9948724
m ssainv.m
function xr=SSAinv(pc,v,tau,k)
%Syntax: xr=SSAinv(pc,v,tau,k)
%_____________________________
%
% The inverse of Singular Spectrum Analysis for a time series.
%
% xr is the reconstructed time ser
www.eeworm.com/read/167839/9950905
m fcm.m
function [Umat,Cmat,it,valJ] = fcm(Xdat,K,mfuz,epsilon,itmax);
% function [Umat,Cmat,it,valJ] = fcm(Xdat,K,mfuz,epsilon,itmax);
%
% Fuzzy C-means algorithm for clustering a data set
%
% Xdat
www.eeworm.com/read/167730/9953774
txt pca(matlab).txt
pca程序(matlab)，供大家参考
% Face recognition by Santiago Serrano
clear all
close all
clc
% number of images on your training set.
M=10;
%Chosen std and mean.
%It can be any number that it is cl
www.eeworm.com/read/363342/9958080
c 逆矩阵.c
#define N 5 /*[注]：修改6为你所要的矩阵阶数*/
#include "stdio.h"
#include "conio.h"
/*js()函数用于计算行列式,通过递归算法实现*/
int js(s,n)
int s[][N],n;
{int z,j,k,r,total=0;
int b[N][N];/*b[N][N]用于存放，在矩阵s[
www.eeworm.com/read/167297/9973194
m ssa_1.m
%Code for decomposing univariate time series via
%Caterpillar-SSA method
%
%The programme first folds the univariate series
%into mulitvariate ones, thus creating m new
%time series. Next, the co
www.eeworm.com/read/167231/9974838
py analyse_file.py
#! /usr/bin/env python
import os
import sys
#
#
#
#zc030x Register map
#-------------------
#0x01d to 0x020 HSYNC/VSYNC (same values as hv7131b)
#0x090 to 0x094: i2c bus control
#0x10a to 0x112: A 3
www.eeworm.com/read/362500/9995882
m unfoldm.m
function [xmpca] = unfoldm(xaug,nsamp);
%UNFOLDM unfolds an augmented matrix for MPCA
% UNFOLDM unfolds the input matrix (xaug) to create a
% matrix of unfolded row vectors (xmpca) for MPCA. (xau
www.eeworm.com/read/362500/9996072
m normaliz.m
function [ndat,norms] = normaliz(dat);
%NORMALIZ Normalizes rows of matrix to unit vectors
% This function can be used for pattern normalization, which
% is useful for preprocessing in some patte
www.eeworm.com/read/362500/9996086
m replace.m
function rm = replace(r,vars)
%REPLACE Replaces variables based on PCA or PLS models
% This function generates a matrix that can be used to
% replace "bad" variables from data matrices with the