Analysis can be done in the time domain or frequency domain. Various transforms such as Laplace, Z, etc can be done on any given signal. But MATLAB provides the opportunity for proper visualization of this. Signals and systems and digital signal processing are taught in various engineering streams. Various controlling techniques such as PD, PI and PID can be visualized. Factors such as closed-loop, open-loop, its controllability and observability, Bode plot, Nyquist plot, etc can be obtained. Further plotting, calculating integrals, derivatives, interpolation, etc can be done. After a particular trend which can be a curve or surface is obtained, its future trends can be predicted. The curve fitting toolbox helps to analyze the pattern of occurrence of data. The algorithms used can also be used for big data applications. Various models can be employed to solve modern-day problems. Statistical methods such as descriptive or inferential can be easily implemented. This toolbox in MATLAB can be very handy for the programmers.
MATLAB programming is quite similar to C programming and just requires a little brush up of your basic programming skills to start working with. MATLAB toolboxes are professionally built and enable you to turn your imaginations into reality. The basic data element of MATLAB as the name suggests is the Matrix or an array. It is a tool that enables computation, programming and graphically visualizing the results.
Though its mostly used by circuit branches and mechanical in the engineering domain to solve a basic set of problems its application is vast. MATLAB can be used as a tool for simulating various electrical networks but the recent developments in MATLAB make it a very competitive tool for Artificial Intelligence, Robotics, Image processing, Wireless communication, Machine learning, Data analytics and whatnot.
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