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Ad hoc signal acquisition refers to finding the solution for “this” situation (whatever “this” is) without consideration of wider application. The solution is strongly data dependent in other words. Data dependent methodologies are, by definition, not defined at the outset, but must be invented as the data begins to be understood. As with data dependency in non‐evolutionary search metaheuristics, where there is no optimal search method that is guaranteed to always work well, here there is no optimal signal acquisition method known in advance. This is simply restating a fundamental limit from non‐evolutionary search metaheuristics in another form [1, 3]. What can be done, however, is assemble the core tools and techniques from which a solution can be constructed and to perform a bootstrap algorithmic learning process with those tools (examples in what follows) to arrive at a functional signal acquisition on the data being analyzed. A universal, automated, bootstrap learning process may eventually be possible using evolutionary learning algorithms. This is related to the co‐evolutionary Free Lunch Theorem [1, 3], and this is discussed in ssss1.