Informatics and Machine Learning

4Ad Hoc, Ab Initio, and Bootstrap Signal Acquisition Methods

In this chapter, concepts introduced in Chapters 2 and 3 are combined with efficient implementation details and objective measures of performance, as well as signal analysis tools from electrical engineering and statistics. This permits ad hoc, ab initio, signal acquisition. Signal analysis definitions and terminology are explained in [189–196] and are discussed further in Section 4.6.

In Section 4.1, we discuss the critical speed advantages of Finite State Automoton (FSA) methods that are O(L), and in Section 4.2 we briefly return to the gene finder problem from Chapter 3, where the bootstrap methodology is shown in practice (named after the paradoxical Baron von Munchausen story [194]). In Section 4.3 objective measures of performance evaluation are described. Section 4.4 delves into signal analytics, where Section 4.4.2 time‐domain Finite State Automoton (tFSA) gives methods for channel current cheminformatics (CCC) when there is stable channel baseline reference signal and Section 4.4.3 describers tFSA methods for CCC with unstable baseline. In Section 4.5 are efficient implementations of the FSAs and core statistical tools.

Numerous prior book, journal, and patent publications by the author are drawn upon extensively throughout [1–68]. Almost all of the journal publications are open access. These publications can typically be found online at either the author’s personal website (www.meta‐logos.com) or with one ...