❶ matlab classification toolbox 有用吗
Classification MatLab Toolbox\About.bmp
.............................\Ada_Boost.m
.............................\ADDC.asv
.............................\ADDC.m
.............................\AGHC.m
.............................\Backpropagation_Batch.m
.............................\Backpropagation_CGD.m
.............................\Backpropagation_Quickprop.m
.............................\Backpropagation_Recurrent.m
.............................\Backpropagation_SM.m
.............................\Backpropagation_Stochastic.m
.............................\Balanced_Winnow.m
.............................\Bayesian_Model_Comparison.m
.............................\Bhattacharyya.m
.............................\BIMSEC.m
.............................\C4_5.m
.............................\calculate_error.m
.............................\calculate_region.m
.............................\CART.m
.............................\CARTfunctions.m
.............................\Cascade_Correlation.m
.............................\Chernoff.m
.............................\chess.mat
.............................\Classification.txt
.............................\classification_error.m
.............................\classifier.m
.............................\classifier.mat
.............................\classifier_commands.m
.............................\click_points.m
.............................\clouds.mat
.............................\Competitive_learning.m
.............................\Components_without_DF.m
.............................\Components_with_DF.m
.............................\contents.m
.............................\decision_region.m
.............................\Deterministic_annealing.m
.............................\Deterministic_Boltzmann.m
.............................\Deterministic_SA.m
.............................\Discrete_Bayes.m
.............................\Discriminability.m
.............................\DSLVQ.m
.............................\EM.m
.............................\enter_distributions.m
.............................\enter_distributions.mat
.............................\enter_distributions_commands.m
.............................\feature_selection.m
.............................\feature_selection.mat
.............................\Feature_selection.txt
.............................\feature_selection_commands.m
.............................\FindParameters.m
.............................\FindParameters.mat
.............................\FindParametersFunctions.m
.............................\find_classes.m
.............................\FishersLinearDiscriminant.m
.............................\function f3.doc
.............................\fuzzy_k_means.m
.............................\GaussianParameters.m
.............................\GaussianParameters.mat
.............................\generate_data_set.m
.............................\Genetic_Algorithm.m
.............................\Genetic_Culling.m
.............................\Genetic_Programming.m
.............................\Gibbs.m
.............................\HDR.m
.............................\high_histogram.m
.............................\Ho_Kashyap.m
.............................\ICA.m
.............................\ID3.m
.............................\Infomat.m
.............................\Interactive_Learning.m
.............................\Kohonen_SOFM.m
.............................\Koller.m
.............................\k_means.m
.............................\Leader_Follower.m
.............................\LMS.m
.............................\load_file.m
.............................\Local_Polynomial.m
.............................\LocBoost.m
.............................\LocBoostFunctions.m
.............................\loglikelihood.m
.............................\LS.m
.............................\LVQ1.m
.............................\LVQ3.m
.............................\make_a_draw.m
.............................\Marginalization.m
.............................\MDS.m
.............................\Minimum_Cost.m
.............................\min_spanning_tree.m
.............................\ML.m
.............................\ML_diag.m
.............................\ML_II.m
.............................\multialgorithms.m
.............................\multialgorithms.mat
.............................\multialgorithms_commands.m
.............................\Multivariate_Splines.m
.............................\NDDF.m
.............................\NearestNeighborEditing.m
.............................\Nearest_Neighbor.m
.............................\NLPCA.m
.............................\None.m
❷ 我是弄微弱信号的提取 ICA方向 需要用到MATLAB 但是信号这块的MATLAB 完全不会能指点下我吗导师啥都没教
做盲源信号分离？
❸ 求用于故障诊断的ICA独立主成分分析的matlab代码
FastICA,搜去吧，好找
❹ FastICA算法的MATLAB实现
对此我做了一段时间的学习，主要是最大非高斯估计的方法，目前的fastica算法就是基于这种理论研究的。能够分离得很好具有一定的条件，源图像之间本身就相差很大，也就是基本上是 “独立的”，如果相关性太强，而fastica算法得到的信号本身就是不相关的，不可能完全恢复出来，我对于Amari以及fastica的作者在图像混合和盲分离的结果持怀疑态度，偶尔效果可能好一些，这中间的问题我们可以交流的
❺ matlab怎么添加zmap工具箱
很多有用的工具箱，转载自振动论坛，要赶紧收藏起来，免得过期后不能下载
ADCPtools - acoustic doppler current profiler data processing
AFDesign - designing analog and digital filters
AIRES - automatic integration of reusable embedded software
Air-Sea - air-sea flux estimates in oceanography
Animation - developing scientific animations
ARfit - estimation of parameters and eigenmodes of multivariate autoregressive methods
ARMASA - power spectrum estimation
AR-Toolkit - computer vision tracking
Auditory - auditory models
b4m - interval arithmetic
Bayes Net - inference and learning for directed graphical models
Binaural Modeling - calculating binaural cross-correlograms of sound
Bode Step - design of control systems with maximized feedback
Bootstrap - for resampling, hypothesis testing and confidence interval estimation
BrainStorm - MEG and EEG data visualization and processing
BSTEX - equation viewer
CALFEM - interactive program for teaching the finite element method
Calibr - for calibrating CCD cameras
Camera Calibration
Captain - non-stationary time series analysis and forecasting
CHMMBOX - for coupled hidden Markov modeling using maximum likelihood EM
Classification - supervised and unsupervised classification algorithms
CLOSID
Cluster - for analysis of Gaussian mixture models for data set clustering
Clustering - cluster analysis
ClusterPack - cluster analysis
COLEA - speech analysis
CompEcon - solving problems in economics and finance
Complex - for estimating temporal and spatial signal complexities
Computational Statistics
Coral - seismic waveform analysis
DACE - kriging approximations to computer models
DAIHM - data assimilation in hydrological and hydrodynamic models
Data Visualization
DBT - radar array processing
DDE-BIFTOOL - bifurcation analysis of delay differential equations
Denoise - for removing noise from signals
DiffMan - solving differential equations on manifolds
Dimensional Analysis -
DIPimage - scientific image processing
Direct - Laplace transform inversion via the direct integration method
DirectSD - analysis and design of computer controlled systems with process-oriented models
DMsuite - differentiation matrix suite
DMTTEQ - design and test time domain equalizer design methods
DrawFilt - drawing digital and analog filters
DSFWAV - spline interpolation with Dean wave solutions
DWT - discrete wavelet transforms
EasyKrig
Econometrics
EEGLAB
EigTool - graphical tool for nonsymmetric eigenproblems
EMSC - separating light scattering and absorbance by extended multiplicative signal correction
Engineering Vibration
FastICA - fixed-point algorithm for ICA and projection pursuit
FDC - flight dynamics and control
FDtools - fractional delay filter design
FlexICA - for independent components analysis
FMBPC - fuzzy model-based predictive control
ForWaRD - Fourier-wavelet regularized deconvolution
FracLab - fractal analysis for signal processing
FSBOX - stepwise forward and backward selection of features using linear regression
GABLE - geometric algebra tutorial
GAOT - genetic algorithm optimization
Garch - estimating and diagnosing heteroskedasticity in time series models
GCE Data - managing, analyzing and displaying data and metadata stored using the GCE data structure specification
GCSV - growing cell structure visualization
GEMANOVA - fitting multilinear ANOVA models
Genetic Algorithm
Geodetic - geodetic calculations
GHSOM - growing hierarchical self-organizing map
glmlab - general linear models
GPIB - wrapper for GPIB library from National Instrument
GTM - generative topographic mapping, a model for density modeling and data visualization
GVF - gradient vector flow for finding 3-D object boundaries
HFRadarmap - converts HF radar data from radial current vectors to total vectors
HFRC - importing, processing and manipulating HF radar data
Hilbert - Hilbert transform by the rational eigenfunction expansion method
HMM - hidden Markov models
HMMBOX - for hidden Markov modeling using maximum likelihood EM
HUTear - auditory modeling
ICALAB - signal and image processing using ICA and higher order statistics
Imputation - analysis of incomplete datasets
IPEM - perception based musical analysis
JMatLink - Matlab Java classes
Kalman - Bayesian Kalman filter
Kalman Filter - filtering, smoothing and parameter estimation (using EM) for linear dynamical systems
KALMTOOL - state estimation of nonlinear systems
Kautz - Kautz filter design
Kriging
LDestimate - estimation of scaling exponents
LDPC - low density parity check codes
LISQ - wavelet lifting scheme on quincunx grids
LKER - Laguerre kernel estimation tool
LMAM-OLMAM - Levenberg Marquardt with Adaptive Momentum algorithm for training feedforward neural networks
Low-Field NMR - for exponential fitting, phase correction of quadrature data and slicing
LPSVM - Newton method for LP support vector machine for machine learning problems
LSDPTOOL - robust control system design using the loop shaping design procere
LS-SVMlab
LSVM - Lagrangian support vector machine for machine learning problems
Lyngby - functional neuroimaging
MARBOX - for multivariate autogressive modeling and cross-spectral estimation
MatArray - analysis of microarray data
Matrix Computation - constructing test matrices, computing matrix factorizations, visualizing matrices, and direct search optimization
[url=http://ewre-www.cv.ic.ac.uk/software/toolkit.htm]MCAT[/url] - Monte Carlo analysis
MDP - Markov decision processes
MESHPART - graph and mesh partioning methods
MILES - maximum likelihood fitting using ordinary least squares algorithms
MIMO - multidimensional code synthesis
Missing - functions for handling missing data values
M_Map - geographic mapping tools
MODCONS - multi-objective control system design
MOEA - multi-objective evolutionary algorithms
MS - estimation of multiscaling exponents
Multiblock - analysis and regression on several data blocks simultaneously
Multiscale Shape Analysis
Music Analysis - feature extraction from raw audio signals for content-based music retrieval
MWM - multifractal wavelet model
NetCDF
Netlab - neural network algorithms
NiDAQ - data acquisition using the NiDAQ library
NEDM - nonlinear economic dynamic models
NMM - numerical methods in Matlab text
NNCTRL - design and simulation of control systems based on neural networks
NNSYSID - neural net based identification of nonlinear dynamic systems
NSVM - newton support vector machine for solving machine learning problems
NURBS - non-uniform rational B-splines
N-way - analysis of multiway data with multilinear models
OpenFEM - finite element development
PCNN - pulse coupled neural networks
Peruna - signal processing and analysis
PhiVis - probabilistic hierarchical interactive visualization, i.e. functions for visual analysis of multivariate continuous data
Planar Manipulator - simulation of n-DOF planar manipulators
PRTools - pattern recognition
psignifit - testing hyptheses about psychometric functions
PSVM - proximal support vector machine for solving machine learning problems
Psychophysics - vision research
PyrTools - multi-scale image processing
RBF - radial basis function neural networks
RBN - simulation of synchronous and asynchronous random boolean networks
ReBEL - sigma-point Kalman filters
Regression - basic multivariate data analysis and regression
Regularization Tools
Regularization Tools XP
Restore Tools
Robot - robotics functions, e.g. kinematics, dynamics and trajectory generation
Robust Calibration - robust calibration in stats
[url=http://ewre-www.cv.ic.ac.uk/software/toolkit.htm]RRMT[/url] - rainfall-runoff modelling
SAM - structure and motion
Schwarz-Christoffel - computation of conformal maps to polygonally bounded regions
SDH - smoothed data histogram
SeaGrid - orthogonal grid maker
SEA-MAT - oceanographic analysis
SLS - sparse least squares
SolvOpt - solver for local optimization problems
SOM - self-organizing map
SOSTOOLS - solving sums of squares (SOS) optimization problems
Spatial and Geometric Analysis
Spatial Regression
Spatial Statistics
Spectral Methods
SPM - statistical parametric mapping
SSVM - smooth support vector machine for solving machine learning problems
STATBAG - for linear regression, feature selection, generation of data, and significance testing
StatBox - statistical routines
Statistical Pattern Recognition - pattern recognition methods
Stixbox - statistics
SVM - implements support vector machines
SVM Classifier
Symbolic Robot Dynamics
TEMPLAR - wavelet-based template learning and pattern classification
TextClust - model-based document clustering
TextureSynth - analyzing and synthesizing visual textures
TfMin - continous 3-D minimum time orbit transfer around Earth
Time-Frequency - analyzing non-stationary signals using time-frequency distributions
Tree-Ring - tasks in tree-ring analysis
TSA - uni- and multivariate, stationary and non-stationary time series analysis
TSTOOL - nonlinear time series analysis
T_Tide - harmonic analysis of tides
UTVtools - computing and modifying rank-revealing URV and UTV decompositions
Uvi_Wave - wavelet analysis
varimax - orthogonal rotation of EOFs
VBHMM - variation Bayesian hidden Markov models
VBMFA - variational Bayesian mixtures of factor analyzers
VMT - VRML Molecule Toolbox, for animating results from molecular dynamics experiments
VOICEBOX
VRMLplot - generates interactive VRML 2.0 graphs and animations
VSVtools - computing and modifying symmetric rank-revealing decompositions
WAFO - wave analysis for fatique and oceanography
WarpTB - frequency-warped signal processing
WAVEKIT - wavelet analysis
WaveLab - wavelet analysis
Weeks - Laplace transform inversion via the Weeks method
WetCDF - NetCDF interface
WHMT - wavelet-domain hidden Markov tree models
WInHD - Wavelet-based inverse halftoning via deconvolution
WSCT - weighted sequences clustering toolkit
XMLTree - XML parser
YAADA - analyze single particle mass spectrum data
ZMAP - quantitative seismicity analysis
❻ fastica25工具箱都是一些.m的文件，应该如何在matlab中使用
这是成员初始化列表。A(n)就是调用A类的构造函数 A（n)来初始化基类A的数据。ob(n)就是给成员ob赋初值n。
❼ matlab里那个fastica程序不会用啊
这个问题太专业了，你看看帮助文档吧，我手头也没有这个工具箱。
❽ 求Fastica在matlab中的源程序，包括数据的预处理（中心化和白化），很急，多谢了！
CSDN上都可以下载得到