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Taking any signal with a [[time domain]], there several mathematical processes that can be applied to transform the signal into another representation that can have other useful applications. | Taking any signal with a [[time domain]], there are several mathematical processes that can be applied to transform the signal into another representation that can have other useful applications. | ||
For example, you can take a raw signal (axis defined as: x= time; y=amplitude) and apply a common transformation method: Fourier (see [[FFT]]), [[wavelet]], [[Wigner distribution]], or Radon. | For example, you can take a raw signal (axis defined as: x= time; y=amplitude) and apply a common transformation method: Fourier (see [[FFT]]), [[wavelet]], [[Wigner distribution]], or Radon. | ||
[[Category:Technical]] | |||
Latest revision as of 22:48, 8 September 2006
Taking any signal with a time domain, there are several mathematical processes that can be applied to transform the signal into another representation that can have other useful applications.
For example, you can take a raw signal (axis defined as: x= time; y=amplitude) and apply a common transformation method: Fourier (see FFT), wavelet, Wigner distribution, or Radon.