Wavelet Signal Processing

摘要: A basic motivation behind transform methods is the idea that some sorts of processing are better (or perhaps only possibly) achieved in domain rather than original signal domain, In this sense, utility a measured by its ability to facilitate desired tasks via algorithms digitally tractable, computationally efficient, concise, and noise robust. The efficacy general wavelet transforms comes from fact exhibit all these benefits when dealing with signals characterized their time—frequency behavior. This chapter explores applications overcomplete problems data compression, suppression, digital communication, identification.