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.
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.
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.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.