lcamtuf’s thing revisits the frequency domain: a clever reinterpretation of everyday signals that translates them into the amplitudes of constituent waveforms. The most common basis for this operation are sine waves running at increasing frequencies, but countless other waveforms can be used to create a number of alternative frequency domains.
If you take an image, convert it to the frequency-domain representation, and then reduce the precision of (or outright obliterate!) the high-frequency components, the resulting image still looks perceptually the same — but you now have much less data to transmit or store.
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Python for Microcontrollers – Adafruit Daily — Python on Microcontrollers Newsletter: A New Arduino MicroPython Package Manager, How-Tos and Much More! #CircuitPython #Python #micropython @ThePSF @Raspberry_Pi
EYE on NPI – Adafruit Daily — EYE on NPI Maxim’s Himalaya uSLIC Step-Down Power Module #EyeOnNPI @maximintegrated @digikey
