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fourier transform deals with continuous time non-periodic signals(if the input is continuous time periodic signal(time domain) then the output is continuous nonpeiodic signal (frequency domain))

DTFT-input-discrete time nonperoidic signal(time domain),output-continuous peroidic signal(frequency domain)

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Q: Difference between fourier Transform and Discrete time fourier transform?

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discrete fourier transformer uses digital signals whereas the fast fourier transform uses both analog and digital.

They are similar. In many problems, both methods can be used. You can view Fourier transform is the Laplace transform on the circle, that is |z|=1. When you do Fourier transform, you don't need to worry about the convergence region. However, you need to find the convergence region for each Laplace transform. The discrete version of Fourier transform is discrete Fourier transform, and the discrete version of Laplace transform is Z-transform.

Fourier series is the sum of sinusoids representing the given function which has to be analysed whereas discrete fourier transform is a function which we get when summation is done.

Fourier transform and Laplace transform are similar. Laplace transforms map a function to a new function on the complex plane, while Fourier maps a function to a new function on the real line. You can view Fourier as the Laplace transform on the circle, that is |z|=1. z transform is the discrete version of Laplace transform.

DTFT is the Fourier Transform of a Discrete Signal. DFT is the sampled version of DTFT

z transform is related to discrete time signal while fourier series is related to continuous time signal. z transform=sigmalm -infinty to +infinity x(n)z-n

wavelet transform is located in space whereas fourier cosine and sine functions are not.:)

z transform is used for the digital signals and laplace is generally used of the contineous signals.

Type your answer here... APPLICATIONS OF Z TRANSFORM· Application of the z Transform to the Analysis of Linear Discrete Systems.· Application of the z Transform to the Simulation of Continuous Systems.· Application of the z Transform to the Analysis of Digital Filters.· Application of the z Transform to the Analysis of Discrete Signals.he z Transform to the Analysis of Digital Filters.One of the major applications of the z-transform is used as an analysis tool for discrete-timeLTI systems. In particular, we will use the z-transform for finding the frequency responseand evaluating the stability of discrete-time LTI systems.From the convolution property of z-transform, we have the relationship between the ztransformsof input and output sequences of a discrete-time LTI system asY(z) = H(z)X (z)where X (z), Y(z) and H(z) are the z-transforms of the system input, output and impulseresponse, respectively. H(z) is referred as the system function or transfer function of thesystem.

Type your answer here... APPLICATIONS OF Z TRANSFORM· Application of the z Transform to the Analysis of Linear Discrete Systems.· Application of the z Transform to the Simulation of Continuous Systems.· Application of the z Transform to the Analysis of Digital Filters.· Application of the z Transform to the Analysis of Discrete Signals.he z Transform to the Analysis of Digital Filters.One of the major applications of the z-transform is used as an analysis tool for discrete-timeLTI systems. In particular, we will use the z-transform for finding the frequency responseand evaluating the stability of discrete-time LTI systems.From the convolution property of z-transform, we have the relationship between the ztransformsof input and output sequences of a discrete-time LTI system asY(z) = H(z)X (z)where X (z), Y(z) and H(z) are the z-transforms of the system input, output and impulseresponse, respectively. H(z) is referred as the system function or transfer function of thesystem.

alot, converging is moving plate boundrias, and transform makes it different shapes

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