My main point is that we usually start with applied maths, applied sciences, and applied engineering to make introduction to these topics easier. Complex numbers are easier to grasp with an actual application. Nonetheless, I was introduced to them in high school algebra without any application and no menton of thier related polar notation. So it was pretty much just abstract algebraic manipulation.
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I went to bed last night wondering if fft on the Propeller might be used for voice identity recognition. After all, don't submarines use fft sonar data to identify the ships and boats nearby by an fft sonar signature?
If so, it would be a useful application to restrict voice command inputs to one person.
The Propeller would have a cog in a standby loop waiting for an audio input sample that is loud enough and long enough to analyize. This might be a name given to your Propeller. If the fft profile is appropriate, it would then say "Hello, sir" and then listen to a series of auto inputs and perform the related tasks. Another key word or phrase - such as "That's all" - would put it back into "awaiting recognition mode".
If someone else attempts to call your computer by name, it simply would not reply. The fft would provide security.
That is why I had no interest in calculus or quadratic equations in high school. Algebra 'seeped' into my brain despite my lack of interest.
My interest in FFT started with wanting to know how Phil Pilgrim's object, which understood four words, worked.
Because of that I imagine voice recognition by the Prop is possible.
To be sure a Raspberry Pi is designed to run Linux and provide a platform for teaching programming to kids. The fact that such a machine can be used as a controller for robots and such is a bonus.
A micro-controller like the Prop, PIC, AVR, STM32, and many others are completely different animals designed for low power, small size, real-time control and so on.
Use what suits the task at hand. Sometimes the capabilities of these different classes of machine overlap and either can do what you want. Other times not.
Comments
My interest in FFT started with wanting to know how Phil Pilgrim's object, which understood four words, worked.
Because of that I imagine voice recognition by the Prop is possible.
A micro-controller like the Prop, PIC, AVR, STM32, and many others are completely different animals designed for low power, small size, real-time control and so on.
Use what suits the task at hand. Sometimes the capabilities of these different classes of machine overlap and either can do what you want. Other times not.