# Matlab Based Projects

Matlab Based Projects is a simulation tool used to enhance images quality. We offer projects on Matlab based applications for students of engineering. Many latest and advanced features are required for doing projects on Matlab, which is provided by us. These features have three types of files namely mat-files, command line and m-files. Storage data and loading process is done by mat-files. Commands such as Dos command window are executed through command line. Input and Output results are stored in m-files.

## Matlab Based Projects Image types:

Intensity and binary are the two types of images. Data type such as unit 2 unit 16 and double are present in intensity. It also has data matrix. For binary just as its name it has logical of binary numbers 1’s and 0’s.

## Linear Algebra:

Problems and errors of linear equation, Eigen value and linear computation are solved by Matlab simulation tool. There are two types of Linear algebra namely vector algebra and matrix algebra.

Vector is defined as the size of matrix in one dimension. The vector column and low should be differentiated. One of the prominent tasks of vector algebra is vector manipulation. Results of scalar vector should be multiplied with the direction. Many rows and columns of matrix are taken into account for matrix operations. Matlab Based Projects

## Commands used in Matlab Based Projects

Numeric display format commands used in MATLAB is a follows:

• Format + – it can be defined by negative, positive or zero.
• Format bank – 2 decimal digits.
• Format short – default 4 decimal digits.
• Format loose – less compact display modes are to be reset.
• Format compact – line feeds are suppressed.
• Format long – 16 decimal digits.
• Format long e- 16 digits plus exponent.
• Format short e – 5 digits plus exponent.
• Format rat – rational Approximation.

## Input /output in MATLAB programming:

Ways such as built-in functions, externally defined and usage of explicit files are need to perform input and output function through Matlab variables and matrices. Input variables from keyboard and formatted output variables are the Matlab output and input variables. Inputs for Matlab operation are usually movies and 3D objects.

## Image compression:

The process of compressing data or an image for the purpose of transmission is called data compression. The size of input data is reduced in this process. This technique is further divided into two namely loss and lossless compression. Lossless compression is more secured way of transmitting data than loss compression.

## Noise reduction:

Input image is processed and removed of any noise. Thus the image is ready for next level of image processing.

## Future Enhancement:

Machine listening concepts like intelligent instrument recognition and creating sense of sounds is the future of Matlab tools. We offer more projects on machine listening concepts.