I am writing a review on signal complexity and a peer told me that is a closed discussion in signal processing. Is this the understand of the scientific community?
In my view, signal complexity and signal processing are two different domains. Signal complexity refers to non linear structure of the signal. It is a subdomain of signal processing, which includes all the methods available for processing times series.
Thank you Jean,
I was referring to the structure of the signal and not to the source.
While it is true that the shape of the signal is linked to its origin, but my question relates rather to the complexity of the waveform of the signal.
The concept complexity is really wide, and I don't believe that is a closed branch of signal processing.
I'm interested in your review. Some do exist already (e.g. Bravi et al.)
Dear Jean, could you send me the complete reference to the work of Bravi, I can´t found in the electronic library in Argentina. Thanks in advance.
As can easily be seen from internet there are a bewildering amount of measures to diagnose the extent of complexity in various signals. One of the problems in this domain of science, is that symbiotic signals necessitate some form of communication, where there is at least some intelligent actor(s) involved. For instance in cognitive neuroscience, neural spike trains can be analysed in various ways, e.g in (quantum or other) aspects of chaotic systems etc. for suitable encoding of information (feature binding problem), see e.g. Areechi ((2003) Mind and Matter 1:15. The paper can be downloaded from M & M’s web page.
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