08-10-2016, 02:53 PM
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INTRODUCTION
MATLAB stands for MATrix LABoratory. It is a technical computing environment
for high performance numeric computation and visualisation. It integrates numerical
analysis, matrix computation, signal processing and graphics in an easy-to-use
environment, where problems and solutions are expressed just as they are written
mathematically, without traditional programming. MATLAB allows us to express
the entire algorithm in a few dozen lines, to compute the solution with great accuracy
in a few minutes on a computer, and to readily manipulate a three-dimensional
display of the result in colour.
MATLAB is an interactive system whose basic data element is a matrix that
does not require dimensioning. It enables us to solve many numerical problems in a
fraction of the time that it would take to write a program and execute in a language
such as FORTRAN, BASIC, or C. It also features a family of application specific
solutions, called toolboxes. Areas in which toolboxes are available include signal
processing, image processing, control systems design, dynamic systems simulation,
systems identification, neural networks, wavelength communication and others.
It can handle linear, non-linear, continuous-time, discrete-time, multivariable and
multirate systems. This chapter gives simple programs to solve specific problems
that are included in the previous chapters. All these MATLAB programs have been
tested under version 7.1 of MATLAB and version 6.12 of the signal processing
toolbox.
INTRODUCTION
MATLAB stands for MATrix LABoratory. It is a technical computing environment
for high performance numeric computation and visualisation. It integrates numerical
analysis, matrix computation, signal processing and graphics in an easy-to-use
environment, where problems and solutions are expressed just as they are written
mathematically, without traditional programming. MATLAB allows us to express
the entire algorithm in a few dozen lines, to compute the solution with great accuracy
in a few minutes on a computer, and to readily manipulate a three-dimensional
display of the result in colour.
MATLAB is an interactive system whose basic data element is a matrix that
does not require dimensioning. It enables us to solve many numerical problems in a
fraction of the time that it would take to write a program and execute in a language
such as FORTRAN, BASIC, or C. It also features a family of application specific
solutions, called toolboxes. Areas in which toolboxes are available include signal
processing, image processing, control systems design, dynamic systems simulation,
systems identification, neural networks, wavelength communication and others.
It can handle linear, non-linear, continuous-time, discrete-time, multivariable and
multirate systems. This chapter gives simple programs to solve specific problems
that are included in the previous chapters. All these MATLAB programs have been
tested under version 7.1 of MATLAB and version 6.12 of the signal processing
toolbox.