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steelcheck
- 先用.txt文件导出杆系结构和梁系结构的用于节点校核的数据，然后用matlab程序计算即可进行构件验算-time. Txt file is derived bar structure and the structure of the beam system for checking the data node, then Matlab can be calculated for checking Component
vbuesmatlabcom
- vb 调用matlab生成的com组件例程 matlab完成计算fft，和显示fft波形-vb call Matlab component com generation of Matlab routines complete calculation fft. and display waveform fft
Matlab-Files
- 有限元分析与应用的所有有用的源程序代码，利用MATLAB来进行有限元分析与应用。本文件包含了组成MATLAB有限元工具箱，主要用于结构力学分析，并提供了所有习题的答案。-finite element analysis and application of all useful source code, Using MATLAB to finite element analysis and application. This document contains a component finite
icalab
- ICA:独立分量分析，基于MATLAB语言-ICA : Independent component analysis, based on MATLAB
dICA
- This a MATLAB code that performs Independent Component Analysis using a deflation approach.
fastica
- FASTICA - Fast Independent Component Analysis ％ ％ FastICA for Matlab 7.x and 6.x ％ Version 2.5, October 19 2005 ％ Copyright (c) Hugo G鋠ert, Jarmo Hurri, Jaakko S鋜el� and Aapo Hyv鋜inen. ％ ％ FASTICA(mixedsig) estimates the independent
plotSmithChart
- MATLAB官方制作的精细的史密斯圆图 (1) plotsmithchart.m Usage: (1) plotsmithchart(Zl,Zo) Where Zl is the Load Impedence (possibly complex) and Zo is the Characteristic Line Impedence. Plots a smith chart, along with the reflection coefficient circle
melbankm
- melbank code for speech recognition essenial component yar
AMUSE
- AMUSE，独立成分分析(ICA)算法之一，用于混合语音信号的盲分离-AMUSE, algorithm of independent component analysis, used in blind speech signal separation.
FastICAECG
- 有关快速定点独立分量分离的Matlab源程序， 有很详细的说明，对于研究FastICA很有价值，-Independent component of the fast fixed-point Matlab source separation, had a very detailed descr iption of FastICA valuable for research,
tycfgsmatlab
- matlab源程序： 用Fisher两类判别法对样本进行分类 对样本进行主成分分析 用最短距离算法的系统聚类对样本进行聚类 用二次完全式回归法估计一个因变量与两个自变量之间的关系 -matlab source: The Fisher discriminant method, two types of samples to classify the samples by principal component analysis system using the shortest
fp
- 基于ICA的独立分量分析，目标函数是负熵，快速不动点算法-ICA-based independent component analysis, the objective function is negative entropy, fast fixed-point algorithm
ML
- 基于最大似然估计的独立分量分析算法，包括随机梯度算法，相对梯度算法，快速不动点算法3个程序-Based on maximum likelihood estimation of independent component analysis algorithms, including stochastic gradient algorithm, the relative gradient algorithm, fast fixed-point algorithm for three programs
VariableNoisySpeechEnhancementAlgorithmPerformance
- 语音增强是影响语音识别系统性能的重要成分。为了比较语音增强算法的性能，采用Matlab软件进行了数值仿真，对不同噪声环境下的语音用3种不同的方法进行降噪，采用信噪比、端点检测等方法来降噪效果，并对几种增强算法的性能进行了比较分析。结果表明，在变噪声环境下短时谱MMSE法最佳，谱减法和维纳滤波法各有优点。-Speech enhancement of voice recognition is an important component of system performance. In order
Principle_compoments_analysis
- 主成分分析的源代码，用matlab编写的-Principal component analysis of the source code using matlab
PCA
- 主分量分析的MATLAB程序，对于初学者比较有用，可以好好看一下-MATLAB program, the principal component analysis is useful for beginners, you can take a look at
66939501pls-for-matlab
- 此程序解释了主成分分析PCA的用法通过matlab将其实现-This program explains the principal component analysis PCA usage by matlab to achieve
PCA
- principal component analysis(PCA)主成分分析，Matlab实例代码-principal component analysis(PCA)
ADRC-matlab-master
- 演变过程 自抗扰控制器自PID控制器演变过来，采取了PID误差反馈控制的核心理念。传统PID控制直接引取输出于参考输入做差作为控制信号，导致出现响应快速性与超调性的矛盾出现。 折叠编辑本段组成部分 自抗扰控制器主要由三部分组成:跟踪微分器(tracking differentiator)，扩展状态观测器 (extended state observer) 和非线性状态误差反馈控制律(nonlinear state error feedback law)。(The evoluti
ADRC_smith
- The evolution process The PID controller (adrc) evolution, took the core idea of PID error feedback control.Traditional PID control direct speech output to the reference input do bad as control signal, resulting in response to the contradiction