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For one who is interested in computational neuroscience and brain computer interface, in university curriculum (e.g. BCCN Berlin), it requires a course in statistical signal processing / signal detection theory.

In order to study these, is it strongly necessary to firstly read signals and systems (e.g. Oppenheim Signals and Systems, and, Discrete-Time Digital Signal Processing, in total 2000 pages though..), or it is just ok to directly start with

e.g. Kay, Fundamentals of Statistical Signal Processing

since in some university course pages, it seems the prerequisite does not include signals and systems.

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closed as primarily opinion-based by Christian Hummeluhr, user7759, Krysta, Artem Kaznatcheev May 6 '15 at 22:08

Many good questions generate some degree of opinion based on expert experience, but answers to this question will tend to be almost entirely based on opinions, rather than facts, references, or specific expertise. If this question can be reworded to fit the rules in the help center, please edit the question.

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    $\begingroup$ "Read" is kind of a loaded term here. Should you understand every last drop of it? No. Are the fundamentals critical for moving on to the deeper material (and Kay is very intense)? Yes. The best approach in these cases is to know where to refer back to when you get stuck on something in the advanced text. $\endgroup$ – Chuck Sherrington Feb 14 '15 at 10:25