- #1
Ronie Bayron
- 146
- 23
Hi forum, where can I find useful references on the above topic. I'd appreciate a little help. Thank you.
Do you mean like a continuous Fourier Transform? Or do you mean something else? What have you found so far in your searching?Ronie Bayron said:Hi forum, where can I find useful references on the above topic. I'd appreciate a little help. Thank you.
If this is the case, here is the Google search hit list (a pretty good list, IMO): https://www.google.com/search?sourc...orm&gs_l=hp..0.0l5.0.0.0.6340...0.6mUR955WgcUberkeman said:Do you mean like a continuous Fourier Transform?
Thanks, Berkeman.berkeman said:If this is the case, here is the Google search hit list (a pretty good list, IMO): https://www.google.com/search?sourc...orm&gs_l=hp..0.0l5.0.0.0.6340...0.6mUR955WgcU
A continuous wave transform is a mathematical technique used to decompose a signal into its individual frequency components. Essentially, it breaks down a complex signal into simpler, sinusoidal components that are easier to analyze.
A continuous wave transform operates on continuous signals, meaning that the data points are spaced infinitely close together. A discrete wave transform, on the other hand, operates on discrete signals where the data points are spaced at regular intervals. This means that a continuous wave transform can provide more precise frequency information, while a discrete wave transform is better suited for digital analysis.
Continuous wave transform is commonly used in fields such as signal processing, image analysis, and audio processing. It is also used in scientific research to analyze data from experiments and simulations.
Yes, there are several types of continuous wave transforms, including the Fourier transform, the Laplace transform, and the Z-transform. These different transforms have different properties and are used for different purposes.
Yes, a continuous wave transform can be applied to both periodic and non-periodic signals. However, for non-periodic signals, the transform will result in a continuous spectrum rather than a discrete set of frequencies.