MATLAB PROGRAMMING HELP

      Matlab programming help provides you complete guidance to code in Matlab. Due to the extensive scope and wide application, many scholars and students prefer Matlab. We are working in this field for the past 10 years and have provided 1000+ projects in Matlab up to now. Our experience and expertise is vast and immeasurable, which can offer you a perfect platform for guidance.  We have served students from nearly 120+ countries and will continue our service, until our students feel satisfied with our work. Be a part of our successful stories, to uplift your profile and career.

MATLAB PROGRAMMING HELP

    Matlab programming help is an initiative started by us for the benefits of budding students and research scholars. Matlab is a powerful tool for Matrix and vector computation, scientific and engineering graphics, GUI building, application development, OOPs extensibility etc. It is easy to debug and code, which makes it an attractive tool for research. We have well trained and certified developers with us, who can help you with your Matlab programming. We are ready to provide you online help for Matlab programming, for your projects, assignments, lab cycles and research works. Below we have provided an overview of Matlab programming, which can help you to know about Matlab programming basics. We provide complete support for Matlab programming, from data collection to final implementation.

LEARN TO PROGRAM MATLAB:

       Let’s see the basic elements of Matlab, which are important for Matlab programming.

MATLAB VARIABLES:

    Matlab variables are always created with an assignment statement, which is given as:

            Variable name= a value or an expression 

For example: >>a=expression

             Where “expression” signifies a combination of mathematical operators, numerical values, variables or function calls. In short, an expression involves:

  • Built-in functions
  • Manual entry
  • User defined functions

Few special variables used in Matlab are: pi, ans, inf, realmin, realmax, and NaN.

MATLAB MATRICES:

In Matlab, all the variables are taken as matrices. Matrix can also be taken as an array which is stored as:

  • Vectors- special forms of matrices which contain only one row or one column.
  • Scalars- This are matrices with only one column and one row.

In Matlab, Matrix is created as:

>>matrix=[1,2,3,4,5,6]

Output Matrix = 1 2 3

4 5 6

Operation involved in Matrix:

  • Access single element of matrix
  • Access multiple element of a matrix
  • Concatenate two matrices
  • Delete a row or column

Major functions in Matlab:

  • Transported matrix
  • Inverse matrix squared matrix[inv()]
  • Determinant[det()]
  • QR decomposition[qr()]
  • Singular value decomp[svd()]
  • Cholesky decomp matrix[chol()]
  • Eigen values and eigen vectors[eig()]
  • Pseudo inverse matrix[pinv()]

  MATLAB EXPRESSIONS:

It works using three main operator’s i.e

  • Relational operators(<,<=,>=,==,~=)
  • Logical operators(Produce result as true or false)
  • Logical functions(Returns logical values)

Ischar(alpha)

Isnumeric(alpha)

Islogical(alpha)

Isempty(alpha)

MATLAB FLOW CONTROL

  • For statement(Looping state)
  • While statement
  • If statement

MATLAB M-FILES:

  • Contains series of statements with an extension of .m
  • Contains script file and function files. All the functions and statements for Matlab is written in these files and saved as filename.m.

MATLAB COMMANDS AND DATA HANDLING:

  • Commands like clc, clear, exist, global, help, quit etc
  • Import and export data(used for data conversion and handling)

Along with the basic programming support, we provide support for the following support for Matlab programming:

Support in the implementation of following concepts:

  • Plotting of functions and data
  • Data visualization and analysis
  • Algorithm development
  • Model creation and simulation
  • User interface and matrix manipulation
  • Code editor and debugging system
  • Nested functions and built in matrix operations
  • Graphical 2D and 3D plotting tools
  • C and FORTRAN function wrapping
  • Creation of closures from lambda expressions
  • Extensive library for numerical algorithms
  • Array slicing and reshaping etc

Support for Programming interfaces:

  • Interfacing with C/C++, Java, FORTRAN, Python etc

Support for programming in the following platforms:

  • Windows, Linux, MAC OS X

Additional support

  • Work on object oriented concepts
  • Work with GPU computing
  • Work on GUI programming

Work on following programming topics:

  • A novel process of Scalable Nano-and Micro-High-Aspect Ratio Structure (HARS) Biocomposites Generated under Physiological Conditions
  • An efficient technology for Enabling Low-Power, Multi-Modal Neural Interfaces Through a Common, Low-Bandwidth Feature Space
  • A new filtering method perform the process on Minimally Invasive Medical Devices based on NBI Optical Filters
  • An efficient interactive tool for perform the ROI extraction and compression on whole slide images
  • An efficient mechanism for Computer-Aided Endoscopic Diagnosis Without Human Specific Labeling