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WHAT IS MATLAB?
Matlab (Matrix Laboratory) is an environment that integrates numerical analysis, visualization and advanced graphics with a high level language. Matlab includes hundreds of functions for:
Matlab allows the creation of applications easily and quickly solving numerical problems.It is optimized for matrix operations, also including functions for:
Matlab, along with their toolboxes, provides solutions for signal and image processing, control systems design, engineering, medical research, analysis and handling (scaling, interpolation, filtering) all kinds of data, from acquisition to output optimization, etc.
MATLAB provides a number of numerical methods to analyze data, develop algorithms and modeling. The language of MATLAB includes mathematical functions that allow the scientific operations and engineering standard. The main mathematical functions used bookstores processor optimized to allow rapid execution of the calculations of vectors and matrices.
The methods available are:
MATLAB complementary products provide features for specialized areas such as statistics, optimization, signal analysis and machine learning.
MATLAB provides tools for acquiring, analyzing and displaying data, enabling deeper into the data in a fraction of the time it would take using spreadsheets or traditional programming languages. It is also possible to document and share the results through charts and reports or through the publication of MATLAB code.
MATLAB provides access to data files, other applications, databases and external devices.Data can be read with popular formats such as Microsoft Excel, text or binary files, image files, sound and video files or scientists such as netCDF and HDF. The functions of E / S files for working with data files of any format.
By using MATLAB with complementary products, you can acquire data from hardware devices like a serial port or computer sound card, or use the streaming of dynamic measurement data directly into MATLAB for analysis and visualization. It is also possible to communicate with instruments such as oscilloscopes, function generators and signal analyzers.
MATLAB lets you manage, filter and preprocess the data. You can perform exploratory data analysis to spot trends, test assumptions and develop descriptive models. MATLAB provides functions for filtering and smoothing, interpolation, convolution and fast Fourier transforms (FFT). Complementary products provide capabilities for curve fitting or surfaces , multivariate statistics, spectral analysis, image analysis , identification systems and other analysis tasks
MATLAB provides integrated graphics to create 2-D and 3-D functions as well as volume visualization functions. These functions allow to visualize and understand the data, and communicating results. The graphics can be customized interactively or programmatically.
The MATLAB graphics gallery provides examples of many ways to display data graphically in MATLAB. In each instance you can view and download the font to use it in their application of MATLAB code.
It is possible to share the results with graphics mode or a full report. MATLAB graphics can be customized to meet the specifications for publication and can be saved in common file formats of graphics or data.It can automatically generate a report to run MATLAB program. The report contains the code, the comments and the results of the program, including graphics. The reports can be published in various formats such as HTML, PDF, Word or LaTeX.
PROGRAMMING AND DEVELOPING ALGORITHMS
MATLAB provides a high-level language and development tools that develop and analyze algorithms and applications quickly.
MATLAB language provides native support for vector and matrix operations that are fundamental to solve science and engineering problems, allowing rapid development and execution.
By MATLAB language, you can write programs and develop algorithms faster than with traditional languages, since it is not necessary low-level administrative tasks such as declaring variables, specifying data types, and allocating memory. In many instances, the support for vector and matrix operations eliminates the need Loop. As a result, often a line of MATLAB code can replace several lines of C or C ++ code.
MATLAB provides characteristics of traditional programming languages, such as flow control, error handling and object-oriented programming (OOP). You can use fundamental data types or advanced data structures, or define custom data types.
It is possible to produce immediate results by executing commands interactively one after another. This approach can quickly explore various options and perform iterations until an optimal solution. Interactive steps can capture mode scripts and functions in order to reuse and automate work.
Complementary products provide integrated MATLAB algorithms for signal processing and communications, image and video processing, control systems and many other domains. By combining these algorithms with their own, you can create applications and complex programs.
MATLAB includes a number of tools to develop efficient algorithms, among which are:
Command window: enter data, execute commands or programs and show results interactively.
MATLAB Editor: Provides editing and debugging features, such as setting breakpoints and advance step by step through individual lines of code.
Code analyzer: automatically checks the code for problems and recommends modifications to maximize performance and maintenance.
MATLAB Profiler: measures the performance of MATLAB programs and identifies areas of code that can be modified to improve them.Additional tools compare code and data files, and provides reports showing file dependencies, reminders and annotated code coverage.
MATLAB applications can be integrated with applications written in other languages. From MATLAB, you may directly invoke code written in C, C ++, Java and .NET. Using the MATLAB engine library, you can invoke MATLAB code from applications written in C, C ++ or Fortran
MATLAB uses processor-optimized libraries for rapid execution of calculations of matrices and vectors. In the case of multi-purpose scalar computations, MATLAB uses technology JIT (just-in-time) to provide execution speeds that rival those of traditional programming languages compile.
To take advantage of multicore and multiprocessor computers, MATLAB offers a wealth of both numerical linear algebra and multiithread functions. These functions run automatically in several computational threads in a single MATLAB session, allowing faster execution on multicore computers.
You can still get more out of multicore computers and other computing resources such as high-performance GPUs and clusters with complementary products of parallel computing. These products provide high-level constructs that allow applications to run in parallel with minor changes in the MATLAB code
DEVELOPMENT AND DISTRIBUTION OF APPLICATIONS
Tools and MATLAB complementary products provide a number of options for developing and deploying applications. You can share individual algorithms and applications with other users of MATLAB or freely distributed to others who do not have MATLAB.
By GUIDE (development environment GUIs), you can create, design and edit GUIs. You can include usual controls such as list boxes, drop down menus and buttons, in addition to MATLAB graphics. You can also create GUIs programmatically using MATLAB functions.
To deploy an application directly between users of MATLAB, it may be packaged as an application of MATLAB , which creates a single file for distribution. The applications are automatically installed in the gallery MATLAB application to be easy to access.
To share applications with people who do not have MATLAB, you can use application delivery products . These complementary products automatically generate stand-alone applications, shared libraries and software components for integration into environments of C, C ++, Java, .NET and Excel. Executables and components can be distributed for free.
MATLAB production server allows you to run MATLAB programs bundled with MATLAB Compiler within their production systems, making possible the incorporation of numerical analysis in Web applications, databases and enterprise.
MATLAB CODER can be used to generate independent C code from MATLAB code.MATLAB Coder supports a subset of the MATLAB language generally used by design engineers to develop algorithms as a component of larger systems. This code can be used for autonomous execution for integration with other software or as part of an embedded application.