Differentiate laplace,fourier,Z-transforms?

In summary, Laplace, Fourier, and Z-transforms are mathematical tools used in signal processing and control systems to convert signals from one domain to another. The main difference between these transforms is the type of signals they can be applied to. Laplace transforms are used for continuous-time signals, Fourier transforms for periodic signals, and Z-transforms for discrete-time signals. They are commonly used in various fields of engineering and science for analyzing and designing systems, solving differential equations, and understanding signal behavior. Some real-world applications include audio and video compression, speech recognition, and medical imaging.
  • #1
sreedhar
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Homework Statement



Can some body differentiate laplace,fourier,Z-transforms?

Homework Equations





The Attempt at a Solution



they are related to engineering field. Z-transforms used in discrete signals?
 
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  • #2


Plug all that into a web search
 
  • #3


sreedhar said:
they are related to engineering field. Z-transforms used in discrete signals?

Yes, Z-Transforms are used for discrete signals. It is the discrete-time equivalent of the Laplace Transform. The discrete-time form of the Fourier Transform is called the Discrete Fourier Transform, or DFT.

As for your original question, you'll have to phrase it much better.
 

Related to Differentiate laplace,fourier,Z-transforms?

What are Laplace, Fourier, and Z-transforms?

Laplace, Fourier, and Z-transforms are mathematical tools used in signal processing and control systems to convert signals from one domain (such as time) to another (such as frequency).

What is the difference between Laplace, Fourier, and Z-transforms?

The main difference between these transforms is the type of signals they can be applied to. Laplace transform is used for continuous-time signals, Fourier transform is used for periodic signals, and Z-transform is used for discrete-time signals.

When would you use Laplace, Fourier, or Z-transforms?

Laplace transforms are commonly used to analyze and design control systems, while Fourier transforms are used in analyzing signals and systems in communication and image processing. Z-transforms are often used in digital signal processing and discrete-time control systems.

What are the benefits of using Laplace, Fourier, and Z-transforms?

These transforms allow us to view signals and systems from a different perspective, making it easier to analyze and understand their behavior. They also provide a way to solve differential equations, which are commonly used in engineering and science.

What are some real-world applications of Laplace, Fourier, and Z-transforms?

Some examples of real-world applications include audio and video compression, speech recognition, and digital filters used in electronic devices. These transforms are also used in medical imaging, radar systems, and many other fields of engineering and science.

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