Matlab simulation projects for ece students supports technical computing which is easily accessible to visualize, programming and computing purposes. Wireless communication, medical imaging, signal processing, digital image processing and wireless sensor networks are the sub domains that comes under Matlab Projects. Matlab simulation projects for ece students are offered by us to both under graduate and post graduate students and also research scholars. Results are produces as images, texts or graphs.

## Benefits of Choosing Matlab simulation Projects:

Graphics in 2D and 3D which includes color and animation.

Numerical solution of different equations.

Modeling, simulation and prototyping.

**Matlab Plotting: **Generally a plot is among two vectors. The first vector is called as abscissa vector and the later one is said to be an ordinate vector. These vectors must have similar length.

**Functions of Matlab simulations projects : **Various processes are done with the help of matlab built in functions. They are as follows:

Median: calculates median of the variable.

Max: find Maximum value of data.

Sum: Sum all content variables.

Mode: calculates mode of the variable.

Prod: multiplies the content.

Std: calculates standard deviation of the variables.

Size: provide size of the variable.

Sqrt: calculating square root of the variable.

Mean-Calculate mean of the variable

**Matrices in Matlab: **A certain array of order should be followed while using matrix in matlab. The number 1 is used to number rows and columns. Specific data is held by floats or integer format. Any matrix can be assigned to any variable.

**Matlab Commands for Managing a Session:**

Help – Searches for help topics.

Whos – list down current variables for long display.

Global – variables are declared in globally.

Who – list current variables.

Clear – eliminate variables from memory.

Look for – searches help entries for a keyword.

Ck – clear command window.

Quit – matlab shall be stopped.

Exist – checks for existence of file.

Filter:

Attributes from inputs are separated by filtering. Only these filtered images are further taken into account. High pass filter and low pass filter are the two types of filter. In image processing noises are smoothened and features are enhanced using filters.

**Thresholding:** It is the chief process of image segmentation. Optimal thresholding and iterative thresholding are few of thresholding methods in matlab simulation projects. Histogram approximation is performed using optimal thresholding. The threshold value should always be in minimum.