(i'm posting here because i could adopt both an hardware or software solution (having a fixed point dsp available); _if you think i'm off-topic_ and that the solution lies on the software side, i can re-post the question on comp.dsp, virtually "closing" the thread here...)
hello
i would like to thank you for the answers to this thread
which have been *extremely* useful and effective both in understanding my problem better and as a solution; after some exploration we chose a specific gaussian filter which - for the kind of application i'm working on - behaves "spectacularly well" ;-)
now to _my current problem_ (i'm looking for *any generic hint about the subject*, then i will google about what you suggest):
i would like to recognize an incoming persistent anomaly of the signal (for example "sudden offset increase": what should be "zero" suddenly becomes +2 because of sudden voltage skew and stays like that for a reasonably long amount of time (not a "spike"), or sudden "white noise" because a wire gets loose, or....)
i would like to do that "as fast as possible" (where "fast" means "with the shortest latency/delay possible with respect to the appearance of the anomaly on the signal")
does exist a standard way of dealing with anomalies? a "toolset of procedures" i can study to understand what i can do?
since i think that the kind of problems i can face could be related to the sensor technologies: i'm using cheap micromachined capacitive accelerometers. the system can tolerate the specific sensor noise but i don't know how they can _malfunction_.
thank you again, guys! gst