Toolbox Demos
Toolboxes are specialized collections of M-files (MATLAB language programs) built specifically for solving particular classes of problems.
Our toolboxes represent the efforts of some of the world's top researchers in fields such as controls, signal processing, system identification, and others.
The following toolboxes have demos to browse through. Try these demos to see which toolboxes might be appropriate for the work you do. Note that this is a comprehensive list of toolboxes. Your particular installation of MathWorks products will likely include only some of these products.
| Toolbox |
Description |
| Bioinformatics |
Read, analyze, and visualize genomic, proteomic, and microarray data in MATLAB |
| Communications |
Design and analyze algorithms for the physical layer of communication systems |
| Control System |
Design and analyze controllers for dynamic closed-loop systems |
| Curve Fitting |
Perform model fitting and analysis |
| Data Acquisition |
Acquire and send out data from plug-in data acquisition boards |
| Database |
Exchange data with relational databases |
| Filter Design |
Design and analyze fixed-point, adaptive, and multirate filters |
| Filter Design HDL Coder |
Generate VHDL and Verilog code for fixed-point filters from MATLAB |
| Financial |
Analyze financial data and develop financial algorithms |
| Fixed-Point |
Design and verify fixed-point algorithms and analyze fixed-point data |
| Fuzzy Logic |
Design and simulate fuzzy logic systems |
| Genetic Algorithm and Direct Search |
Solve optimization problems using genetic or direct search algorithms |
| Image Acquisition |
Acquire images and video from industry-standard hardware |
| Image Processing |
Perform image processing, analysis, and algorithm development |
| Instrument Control |
Control and communicate with test and measurement instruments |
| LMI Control |
Design robust controllers using convex optimization techniques |
| Link for Code Composer Studio |
Use MATLAB with RTDX-enabled Texas Instruments digital signal processors |
| Link for ModelSim® |
Cosimulate and verify VHDL and Verilog using ModelSim |
| Mapping |
Analyze and visualize geographically based information |
| Model Predictive Control |
Control large, multivariable processes in the presence of constraints |
| Mu-Analysis and Synthesis |
Design multivariable feedback controllers for systems with model uncertainty |
| Neural Network |
Design and simulate neural networks |
| OPC |
Read, write, and log data from OPC servers |
| Optimization |
Solve standard and large-scale optimization problems |
| Partial Differential Equation |
Solve and analyze partial differential equations |
| RF |
Design and analyze networks of RF components |
| Robust Control |
Design robust multivariable feedback control systems |
| Signal Processing |
Perform signal processing, analysis, and algorithm development |
| Spline |
Create and manipulate spline approximation models of data |
| Statistics |
Apply statistical algorithms and probability models |
| Symbolic Math |
Perform computations using symbolic mathematics and variable-precision arithmetic |
| System Identification |
Create linear dynamic models from measured input-output data |
| Virtual Reality |
Animate and visualize Simulink systems in three dimensions |
| Wavelet |
Analyze and synthesize signals and images using wavelet techniques |
See Also
In the Contents pane, for each toolbox, see documentation Examples to view
more sample code you can run or copy.