Z transform reduces to discrete time fourier transform when the magnitude of the transform z is
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hey guys this paragraph help u I hope!!!!
The Z transform is a generalization of the Discrete-Time Fourier Transform. It is used because the DTFT does not converge/exist for many important signals, and yet does for the z-transform. It is also used because it is notationally cleaner than the DTFT. In contrast to the DTFT, instead of using complex exponentials of the form eiωn, with purely imaginary parameters, the Z transform uses the more general, zn, where z is complex. The Z-transform thus allows one to bring in the power of complex variable theory into Digital Signal Processing.
The Z transform is a generalization of the Discrete-Time Fourier Transform. It is used because the DTFT does not converge/exist for many important signals, and yet does for the z-transform. It is also used because it is notationally cleaner than the DTFT. In contrast to the DTFT, instead of using complex exponentials of the form eiωn, with purely imaginary parameters, the Z transform uses the more general, zn, where z is complex. The Z-transform thus allows one to bring in the power of complex variable theory into Digital Signal Processing.
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Explanation:
Planck's law describes the spectral density of electromagnetic radiation emitted by a black body in thermal equilibrium at a given temperature T, when there is no net flow of matter or energy between the body and its environment.
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