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txt~ readme.txt~
Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (1998).
See http://www.ai.mit.edu/~murphyk/Software/hmm.html for details.
Installation
------------
1. Install netlab from http://www.ncrg.a
www.eeworm.com/read/399326/7869489
readme
8/21/03 - Leo Grady
INSTALLATION:
To use any functions in the toolbox, just add the main directory to
your MATLAB path.
To run any of the demos (included in the demos package), add the
./DEMOS/ dire
www.eeworm.com/read/199224/7877008
txt readme.txt
Second and Higher-Order Statistics based Multiple-Input-Multiple-Output System
Blind Identification Matlab Code Readme file
Communications and Signal Processing Laboratory
ECE Department, Drexel
www.eeworm.com/read/299178/7881116
m optimset.m
function options = optimset(varargin)
%OPTIMSET Create/alter OPTIM OPTIONS structure.
% OPTIONS = OPTIMSET('PARAM1',VALUE1,'PARAM2',VALUE2,...) creates an
% optimization options structure OPTIO
www.eeworm.com/read/299178/7881273
m qrinsert.m
function [Q,R] = qrinsert(Q,R,j,x,orient)
%QRINSERT Insert a column or row into QR factorization.
% [Q1,R1] = QRINSERT(Q,R,J,X) returns the QR factorization of the matrix A1,
% where A1 is A=Q*
www.eeworm.com/read/433438/7930001
txt readme.txt
|-----------------------------------------------------------------------|
| Hybrid Texture Synthesis MATLAB package |
|
www.eeworm.com/read/298649/7947845
m fil.m
function [out]=fil(in,f);
%
% Filters the data using a first order filter
%
% [out]=fil(in,f);
%
% f is a vector containing the filter constants
%
% Updated to use MATLAB's built in filter rou
www.eeworm.com/read/197958/7960811
m rand.m
%R=rand(m,n) 生成(0,1)上均匀分布的m行n列随机矩阵
%RAND Uniformly distributed random numbers.
% RAND(N) is an N-by-N matrix with random entries, chosen from
% a uniform distribution on the interval (0.0,1.0
www.eeworm.com/read/197534/7987100
cs example.cs
using System;
using System.Runtime.InteropServices;
using UtilityMatlabCompilerVer4 ;
using System.IO ;
namespace MatlabCSharpExample
{
class Example
{
IntPtr ep ;
public Example()