Matlab. Folleto

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Key Features

High-level language for numerical

computation, visualization, and ap -

plication development Interactive environment for iterative

exploration, design, and problem

solving

Mathematical functions for linear

algebra, statistics, Fourier analysis,

filtering, optimization, numerical

integration, and solving ordinary

differential equations

Built-in graphics for visualizing data

and tools for creating custom plots

Development tools for improvingcode quality and maintainability

and maximizing performance

Tools for building applications with

custom graphical interfaces

Functions for integrating MATLAB

based algorithms with external ap -

plications and languages such as C,

Java, .NET, and MicrosoftExcel

The Language of Technical Computing

MATLAB is a high-level language and

interactive environment for numerical com-

putation, visualization, and programming.

Using MATLAB, you can analyze data,

develop algorithms, and create models and

applications. The language, tools, and built-

in math functions enable you to explore

multiple approaches and reach a solution

faster than with spreadsheets or traditional

programming languages, such as C/C++ or

Java.

You can use MATLAB for a range of appli-

cations, including signal processing and

communications, image and video process-

ing, control systems, test and measurement,

computational finance, and computational

biology. More than a million engineers andscientists in industry and academia use

MATLAB, the language of technical

computing.

MATLAB Overview 2:04

Analyzing and visualizing data using the MATLABdesktop. The MATLAB environment also lets you writeprograms and develop algorithms and applications.
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Numeric Computation

MATLAB provides a range of numerical

computation methods for analyzing data,

developing algorithms, and creating

models. The MATLAB language includes

mathematical functions that support

common engineering and science opera-

tions. Core math functions use processor-

optimized libraries to provide fast

execution of vector and matrix

calculations.

Available methods include:

Interpolation and regression

Differentiation and integration

Linear systems of equations

Fourier analysis

Eigenvalues and singular values

Ordinary differential equations (ODEs)

Sparse matrices

MATLAB add-on products provide func-

tions in specialized areas such as statistics,

optimization, signal analysis, and machine

learning.

Data Analysis and Visualization

MATLAB provides tools to acquire, ana-

lyze, and visualize data, enabling you to

gain insight into your data in a fraction of

the time it would take using spreadsheets

or traditional programming languages.

You can also document and share your

results through plots and reports or as

published MATLAB code.

Acquiring Data

MATLAB lets you access data from files,

other applications, databases, and external

devices. You can read data from popular

file formats such as Microsoft Excel; textor binary files; image, sound, and video

files; and scientific files such as netCDF

and HDF. File I/O functions let you work

with data fi les in any format.

Using MATLAB with add-on products,

you can acquire datafrom hardware

devices, such as your computers serial port

or sound card, as well as stream live, mea-

sured data directly into MATLAB for ana-

lysis and visualization. You can also

communicate with instruments such asoscilloscopes, function generators, and

signal analyzers.

Refinement of gridded data using 2-D cubic interpolation.

mathworks.com/matlab

A mixed numeric and text file for import into MATLAB using the Import Tool. MATLAB automatically generates ascript or function to import the file programmatically.
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Fitting a surface to datawith a custom modelusing MATLAB andCurve Fitting Toolbox.

Editing the title of a sur-face contour plot usingthe MATLAB interactiveplotting environment.

Analyzing Data

MATLAB lets you manage, filter, and pre-

process your data. You can perform

exploratory data analysis to uncover

trends, test assumptions, and build

descriptive models. MATLAB provides

functions for filtering and smoothing,

interpolation, convolution, and fast Fourier

transforms (FFTs). Add-on products pro-

vide capabilities for curve and surface fit-

ting, multivariate statistics, spectral

analysis, image analysis, system identifica-

tion, and other analysis tasks.

Visualizing DataMATLAB provides built-in 2-D and 3-D

plotting functions, as well as volume visu-

alization functions. You can use these

functions to visualize and understand data

and communicate results. Plots can be cus-

tomized either interactively or

programmatically.

TheMATLAB plot galleryprovides exam-

ples of many ways to display data graphi-

cally in MATLAB. For each example, you

can view and download source code to use

in your MATLAB application.

Documenting and Sharing Results

You can share results as plots or complete

reports. MATLAB plots can be customized

to meet publication specifications and

saved to common graphical and data file

formats.

You can automatically generate a report

when you execute a MATLAB program.

The report contains your code, comments,

and program results, including plots.

Reports can be published in a variety of

formats, such as HTML, PDF, Word, or

LaTeX.

Analyzing and Visualizing Data withMATLAB 3:26
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A communications algorithm that generates 1024 random bits, converts the vector to a transmitted signal, addscomplex Gaussian noise, and plots the result in nine lines of MATLAB code.

Programming and Algorithm

Development

MATLAB provides a high-level languageand development tools that let you quickly

develop and analyze a lgorithms and

applications.

The MATLAB Language

The MATLAB language provides native

support for the vector and matrix opera-

tions that are fundamental to solving engi-

neering and scientific problems, enabling

fast development and execution.

With the MATLAB language, you canwrite programs and develop algorithms

faster than with traditional languages

because you do not need to perform low-

level administrative tasks such as declaring

variables, specifying data types, and allo-

cating memory. In many cases, the support

for vector and matrix operations elimi-

nates the need for for-loops. As a result,


MATLAB program

(left) published asHTML (right) using theMATLAB Editor. Resultsthat display in theCommand Window oras plots are capturedand included, andthe code commentsare turned into sectionheadings and bodytext in the HTML.

one line of MATLAB code can often

replace several lines of C or C++ code.

MATLAB provides features of traditional

programming languages, including f low

control, error handling, and object-orient-

ed programming (OOP). You can use fun-

damental data types or advanced data

structures, or you can define custom data

types.

You can produce immediate results by

interactively executing commands one at a

time. This approach lets you quickly

explore multiple options and iterate to an

optimal solution. You can capture interac-

tive steps as scripts and functions to reuse

and automate your work.

MATLAB add-on products provide built-in algorithms for signal processing and

communications, image and video pro-

cessing, control systems, and many other

domains. By combining these algorithms

with your own, you can build complex

programs and applications.
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Development Tools

MATLAB includes a variety of tools for

efficient algorithm development,

including:

Command Window Lets you interactive-

ly enter data, execute commands and pro-

grams, and display results

MATLAB EditorProvides editing and

debugging features, such as setting break-

points and stepping through individual

lines of code

Code AnalyzerAutomatically checks

code for problems and recommends modi-

fications to maximize performance and

maintainability

MATLAB ProfilerMeasures perfor-

mance of MATLAB programs and identi-

fies areas of code to modify for

improvement

Additional tools compare code and data

files, and provide reports showing fi le

dependencies, annotated reminders, and

code coverage.

Integration with Other Languages andApplications

You can integrate MATLAB applications

with those written in other languages.

From MATLAB, you can directly call code

written in C, C++, Java, and .NET. Using

the MATLAB engine library, you can call

MATLAB code from C, C++, or Fortran

applications.


Performance

MATLAB uses processor-optimized librar-

ies for fast execution of matrix and vector

computations. For general-purpose scalar

computations, MATLAB uses its just-in-

time (JIT) compilation technology to pro-

vide execution speeds that rival those oftraditional programming languages.

To take advantage of multicore and multi-

processor computers, MATLAB provides

many multithreaded linear algebra and

numerical functions. These functions auto-

matically execute on multiple computa-

tional threads in a single MATLAB

session, enabling them to execute faster on

multicore computers.

You can take further advantage of multi-

core desktop and other high-performance

computing resources such as GPUs and

clusters with add-onparallel computing

products. These products provide high-

level constructs that let you parallelize

applications with only minor changes to

MATLAB code.

Programming and DevelopingAlgorithms with MATLAB 4:35

MATLAB program running in debug mode to diagnose problems.
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mathworks.com 2012 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional

trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

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Appl ication Development and

Deployment

MATLAB tools and add-on products pro-

vide a range of options to develop and

deploy applications. You can share individ-

ual algorithms and applications with other

MATLAB users or deploy them royalty-

free to others who do not have MATLAB.

Designing Graphical User Interfaces

Using GUIDE (Graphical User Interface

Development Environment), you can lay out,

design, and edit custom graphical user inter-

faces. You can include common controls such

as list boxes, pull-down menus, and push

buttons, as well as MATLAB plots. Graphical

user interfacescan also be created program-

matically using MATLAB functions.

Deploying Applications

To distribute an application direct ly to other

MATLAB users, you can package it as a

MATLAB app, which provides a single file

for distribution. Apps automatically install

in the MATLAB apps gallery for easy access.

To share applications with others who do

not have MATLAB, you can use applica-

tion deployment products. These add-on

products automatically generate stand-

alone applications, shared libraries, and

software components for integration in C,

C++, Java, .NET, and Excel environments.

The executables and components can be

distributed royalty-free.

MATLAB Production Serverlets you run

MATLAB programs packaged with

MATLAB Compilerwithin your

RESOURCES Training Servicesmathworks.com/training

Third-Party Products and Servicesmathworks.com/connections

Worldwide Contactsmathworks.com/contact

Product Details, Demos, and SystemRequirementsmathworks.com/matlab

Trial Softwaremathworks.com/trialrequest

Salesmathworks.com/contactsales

Technical Supportmathworks.com/support

Online User Communitymathworks.com/matlabcentral

production systems, enabling you to incor-

porate numerical analytics in web, data-

base, and enterprise applications.

Generating C Code

You can useMATLAB Coderto generate

standalone C code from MATLAB code.

MATLAB Coder supports a subset of the

MATLAB language typically used by design

engineers for developing algorithms as com-

ponents of larger systems. This code can be

used for standalone execution, for integra-

tion with other software applications, or as

part of an embedded application.

Developing and Deploying Applications4:17

GUIDE layout of a windanalysis GUI (top) and

the completed interface(bottom).

MATLAB code (left)and code generationreport (right) showinggenerated C code.
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Matlab. Folleto