As the current-day value enters this rectangular averaging flow, previous days’ values shift down one position. In this example, coefficients all equal 0.01538. An FIR filter uses the same flow, but with coefficients calculated to meet filter requirements.
Thanks Jon for an excellent piece! I think in concepts, not equations, and like to have things explained that way. The equations are easy to find ... but well-written conceptual explanations of a topic are much more rare! Michael Faraday is one of my heroes for that reason ... sadly, Maxwell got the credit for much of Faraday's work because of the rampant "math snobbery" of their day. I believe only the most hardcore of geeks actually think, and create new ideas, in terms of equations.
Here, here, I agree whole heartedly. I too am a concepts person. My hat is off to the many math wizzes out there, without whom we wouldn't have a lot of the insight to the world we have, but without people like Jon it would be closed to many more.
To get to a trillion sensors in the IoT that we all look forward to, there are many challenges to commercialization that still remain, including interoperability, the lack of standards, and the issue of security, to name a few.
From design feasibility, to development, to production, having the right information to make good decisions can ultimately keep a product from failing validation. The key is highly focused information that doesn’t come from conventional, statistics-based tests but from accelerated stress testing.
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