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

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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 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

[url=]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=]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

请教如何用VB来编写GPIB控制软件

你需要了解硬件和软件问题

1）硬件：你先确认一下，光谱仪和计算机是通过什么接口来通讯的（例如RS232 RS485 RS422 等）

2）软件：通讯协议（例如Modbus canbus Profibus control-net 等）

或者光谱仪供应商提供驱动程序（DLL动态连接库）

然后再用VB VC 等编程软件来开发你的控制程序

在vb点虐 中，用什么类型代替vb6.0中的any类型啊？我用object代替时，总是显示"只不

请参考：

当我把一些旧的VB6项目转变成VS2008时会出现, “Declare”语句中不支持“As Any”的错误说明, 例如在National Instrument中有一个VBib-32.vb中有大量的这样一类的语句:

Declare Function ibcmda32 Lib "Gpib-32.dll" Alias "ibcmda" (ByVal ud AsInteger, ByRef sstr As Any, ByVal cnt As Integer) As Integer

如何办?

有两种办法:

一, 使用具体的参数

例如字符串, 就用string, 那么上面的ByRef as Any, 就写成ByRef as string, 或者

二, 使用特殊说明MarshalAsAttribute

System.Runtime.InteropServices.MarshalAsAttribute(System.Runtime.InteropServices.UnmanagedType.AsAny)

把这段语句放在相应之处, 然后把Any改成Object, 于是最上面的说明语句写成

Declare Function ibcmda32 Lib "Gpib-32.dll" Alias "ibcmda" (ByVal ud AsInteger, System.Runtime.InteropServices.MarshalAsAttribute(System.Runtime.InteropServices.UnmanagedType.AsAny) ByRef sstr As Object, ByVal cnt As Integer) As Integer

对于ByVal也是一样

Public Declare Function GetPrivateProfileString Lib "kernel32" Alias"GetPrivateProfileStringA" (ByVal lpApplicationName As String, System.Runtime.InteropServices.MarshalAsAttribute(System.Runtime.InteropServices.UnmanagedType.AsAny) ByVal lpKeyName As Object, ByVal lpDefault As String,ByVal lpReturnedString As String, ByVal nSize As Integer, ByVal lpFileName AsString) As Integer

MSDN官方说明, 可以简写成:

Declare Sub SetData Lib "..\LIB\UnmgdLib.dll" ( ByVal x As Short, MarshalAsAttribute(UnmanagedType.AsAny)ByVal o As Object)

这种方法本人实际使用, 可行.

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