0
Still curious? Ask our experts.
Chat with our AI personalities
Vivi
Ross
SteveAdd your answer:
Earn +20 pts
What are limitations of z transform?
1.z transform can not aaply in continious signal. 2.z transform can not analyse analog filter by - prakash kr
Why Gaussian kernels are used wavelet transforms?
Oh, dude, Gaussian kernels are used in wavelet transforms because they have a smooth and bell-shaped curve that helps in capturing both low and high-frequency components of a signal. It's like they're the cool kids at the party who can mingle with everyone. So, when we want to analyze signals with varying frequencies, we invite Gaussian kernels to the wavelet transform shindig because they know how to handle the crowd.
What are the limitation of fourier series?
what are the limitations of forier series over fourier transform
What are the limitations of z-transform?
The main limitation is that the z-transform is appropriate only if the underlying data are normally distributed. It is also important that the estimates for the mean and variance are sufficiently accurate.
What is the difference between the fourier laplace transform?
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.
