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1.z transform can not aaply in continious signal. 2.z transform can not analyse analog filter
t is the significance of Z-transform
1.z transform can not aaply in continious signal. 2.z transform can not analyse analog filter by - prakash kr
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.
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.
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the difference is the "S" and "Z" parameters. S used for analog computation while Z for digital processing. basically Z is the digital approximation of the analog frequency domain signal. Z=exp(sT) where T is the sampling time.
The Laplace transform is used for analyzing continuous-time signals and systems, while the Z-transform is used for discrete-time signals and systems. The Laplace transform utilizes the complex s-plane, whereas the Z-transform operates in the complex z-plane. Essentially, the Laplace transform is suited for continuous signals and systems, while the Z-transform is more appropriate for discrete signals and systems.
The Fourier transform is used to analyze signals in the frequency domain, transforming a signal from the time domain to the frequency domain. The z-transform is used in the analysis of discrete-time systems and signals, transforming sequences in the z-domain. While the Fourier transform is typically applied to continuous signals, the z-transform is used with discrete signals represented as sequences.
1.z transform can not aaply in continious signal. 2.z transform can not analyse analog filter
t is the significance of Z-transform
1.z transform can not aaply in continious signal. 2.z transform can not analyse analog filter by - prakash kr
A Z-transform is a mathematical transform which converts a discrete time-domain signal into a complex frequency-domain representation.
z transform perhaps? It's basically a laplace transform for discrete values rather than continuous (although this probably makes no sense to you if you're in algebra. This is stuff used in digital signal processing for Electrical Engineering).
The z-transform is commonly used in digital signal processing to analyze and manipulate discrete-time signals and systems. It allows for the representation of sequences in the complex frequency domain, facilitating the analysis of system behavior and the design of filters and controllers for digital systems.
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.