MATLAB can be used to simulate various electrical networks. Still, recent advancements in MATLAB have made it a competitive tool for Artificial Intelligence, Robotics, Image processing, Wireless communication, Machine learning, Data analytics, and other applications. Though it is mainly used in the engineering domain by circuit branches and mechanics to solve a basic set of problems, its application is vast. It is a programme that allows you to compute, schedule, and graphically visualise the results. We will discuss MATLAB Applications. Join a MATLAB Course In Chennai. It offers advanced certification training and 100% job placement assistance.

The Matrix or array is the basic data element of MATLAB, as the name implies. MATLAB toolboxes are professionally designed and allow you to turn your ideas into reality. MATLAB programming is very similar to C programming and only requires a minor refresher of your basic programming skills to get started.

Applications of MATLAB

MATLAB applications are listed below.

Statistics and machine learning(ML)

This MATLAB toolbox can be handy for programmers. Statistical methods such as descriptive or inferential statistics are simple to implement. The same is valid for machine learning. To solve modern-day problems, various models can be used. The algorithms used are also applicable to big data applications.

Curve fitting

The curve fitting toolbox aids in the analysis of data occurrence patterns. After obtaining a specific trend, which can be a curve or a surface, future trends can be predicted. Plotting, calculating integrals, derivatives, interpolation, and other functions are available.

Control systems

The nature of systems can be obtained. Closed-loop, open-loop, controllability and observability, Bode plot, Nyquist plot, and other factors can be obtained. Control techniques like PD, PI, and PID can be visualised. Analysis can be performed in either the time domain or the frequency domain.

Signal Processing

Signals and systems, as well as digital signal processing, are taught in various engineering programmes. However, MATLAB allows for proper visualisation of this. Multiple transforms such as Laplace, Z, and so on can be performed on any given signal. Validation of theorems is possible. Analysis can be completed in either the time domain or the frequency domain. There are numerous built-in functions available.

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Mapping

Mapping has numerous applications in a variety of fields. For example, the MapReduce tool is essential in big data and has many real-world applications. Data mapping can be used for theft analysis or financial fraud detection, regression models, contingency analysis, predicting techniques in social media, data monitoring, and so on.

Deep learning

It is a machine learning subclass that can be used for speech recognition, financial fraud detection, and medical image analysis. Time series, Artificial neural network (ANN), Fuzzy logic, or a combination of these tools can be used.

Financial analysis

Before embarking on any venture, an entrepreneur must conduct a thorough survey and financial analysis to determine the best course of action. All of the tools required for this are available in MATLAB. Profitability, solvency, liquidity, and stability can all be identified. Business valuation, capital budgeting, cost of capital, and other factors can be assessed.

Image processing

Barcode scanners, selfies (face beauty, blurring the background, face detection), image enhancement, and so on are the most common applications we see almost daily. Digital image processing is also important in transmitting data from distant satellites and receiving and decoding it. There are algorithms available to support all of these applications.

Conclusion

This blog has discussed MATLAB Applications. Join the Best MATLAB Training Institutes In Chennai, which offer the best certification training with knowledgeable instructors.