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Noise removal by characterizing both noise and signal: theory

 

In the previous chapter, the separation of signal and noise was done using only the signal annihilation filter. This process works well in the case of noise that cannot be predicted with a purely lateral filter. In this chapter, I address the more complicated issues involved in separating coherent noise from signal. This involves both signal and noise annihilation filters, as well as more complicated weighting of the various parts of the system to be solved.



 
next up previous print clean
Next: Least-squares separation of signal Up: LEAST-SQUARES SEPARATION OF SIGNAL Previous: Conclusions
Stanford Exploration Project
2/9/2001