用MATLAB的时重要MATLAB tools

用 MATLAB 的时重要 MATLAB tools  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 ets  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 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 retrieval  MWM - multifractal wavelet model  NetCDF  Netlab - neural network algorithms

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