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## What is the difference between Fourier transform and Z transform?

Fourier transforms are for converting/representing a time-varying function in the frequency domain. Z-transforms are very similar to laplace but are discrete time-interval conversions, closer for digital implementations. They all appear the same because the methods used to convert are very similar.

## Why do we use Fourier transform?

The Fourier Transform is an important image processing tool which is used to decompose an image into its sine and cosine components. The Fourier Transform is used in a wide range of applications, such as image analysis, image filtering, image reconstruction and image compression.

## What is the meaning of Fourier Transform?

The Fourier Transform is a mathematical technique that transforms a function of time, x(t), to a function of frequency, X(ω). It is closely related to the Fourier Series. If you are familiar with the Fourier Series, the following derivation may be helpful.

## What are types of Fourier series?

Fourier series is of two types- trigonometric series and exponential series.

## What exactly is Fourier transform?

In mathematics, a Fourier transform (FT) is a mathematical transform that decomposes functions depending on space or time into functions depending on spatial or temporal frequency, such as the expression of a musical chord in terms of the volumes and frequencies of its constituent notes.

## How do you explain Fourier transform?

Fourier Transform. The Fourier Transform is a tool that breaks a waveform (a function or signal) into an alternate representation, characterized by sine and cosines. The Fourier Transform shows that any waveform can be re-written as the sum of sinusoidal functions.

## Where is Fourier transform defined?

The Fourier Transform is a mathematical technique that transforms a function of time, x(t), to a function of frequency, X(ω). It is closely related to the Fourier Series.

## What are 2 types of Fourier series?

Explanation: The two types of Fourier series are- Trigonometric and exponential.

## Where is Fourier used?

The Fourier series has many such applications in electrical engineering, vibration analysis, acoustics, optics, signal processing, image processing, quantum mechanics, econometrics, shell theory, etc.

## What are the disadvantages of Fourier tranform?

The major disadvantage of the Fourier transformation is the inherent compromise that exists between frequency and time resolution. The length of Fourier transformation used can be critical in ensuring that subtle changes in frequency over time, which are very important in bat echolocation calls, are seen.

## What are the different types of the Fourier transform?

aperiodic spectrum This is the most general form of continuous time Fourier transform.

• discrete aperiodic spectrum This is the Fourier series expansion of a periodic signal with time period .
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## Why there is a need of Fourier transform?

Fourier Transform is used in spectroscopy, to analyze peaks, and troughs. Also it can mimic diffraction patterns in images of periodic structures, to analyze structural parameters. Similar principles apply to other ‘transforms’ such as Laplace transforms, Hartley transforms.

## What is the philosophical meaning of Fourier series?

A Fourier series is a way to represent complex waves, such as sound, as a series of simple sine waves. The series breaks down a wave into a sum of sines and cosines. This means that elements of a wave can be isolated from each other.