【转载】MATLAB Toolbox 大全（二）

【转载】MATLAB Toolbox 大全（二）(2009-06-16 16:46:36)

标签：matlab 工具箱 杂谈

分类：借花献佛

续前篇：

• 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 procedure
• 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
• MCAT - 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 retri
• 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
• RRMT - 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