Titlebook: Kernel Mode Decomposition and the Programming of Kernels; Houman Owhadi,Clint Scovel,Gene Ryan Yoo Book 2021 The Editor(s) (if applicable)

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r the main progress achieved in the five years that have elapsed since the first edition. The structure of the book remains essentially the same but a con­ siderable amount of new material has been introduced, particularly in certain areas such as the genetics of immunoglobulins and T cell receptor,

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Kernel Mode Decomposition Networks (KMDNets),oach described in Example 3.3.1 is based on the prior knowledge of (1) the number of quasi-periodic modes, (2) their phase functions .., and (3) their base periodic waveform (which need not be a cosine function).

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Additional Programming Modules and Squeezing, synchrosqueezing, due to Daubechies et al. The KMDNets described in Chap. . not only introduce hierarchical structures to implement nonlinear estimations using linear techniques, but can also be thought of as a sparsification technique whose goal is to reduce the computational complexity of solving