153 karma · joined March 10, 2014
https://en.wikipedia.org/wiki/List_of_countries_ranked_by_et...
I don't see this as surprising as a C++ user. Who is 'everyone' here?
What do you think Alibaba does?
This remains an excellent reference design to build upon. The world of PCB design is more labor intensive, but this would be perfectly simple to reimplement using hobby-level PCB software.
I fail to understand why using a HDL for a digital ASIC is fine, but using one for a FPGA in the context of acceleration is not.
I agree eye balling the results is just as important, but I don't believe everyone should adopt this method because one dude thinks it looks better. Personally, I dislike the blocking artefacts around the neck and badge of the high-res image, even if some details are sharper.
Using nearest-neighbour resampling on the low-res image is an absolute joke. He didn't even look at an objective quality measurement (PSNR). The human visual system is very sensitive to edges, and the high-res image has more pronounced blocking artefacts. Downsampling a high-res image is an unnecessary load on the end user, the 8x8 block transform was chosen for good reason.
I'm not necessarily saying the low-res is superior, but I disagree this ad hoc method is the 'best' way (compared to optimising the coding).
Despite their mistake, I particularly like testing jig with capsense buttons (although I wonder why?)
randomPoly[n_, x_] := x^Range[0, n].Table[RandomReal[{1, i}], {i, n + 1}]
With this bias (or any of the various of biases I've tried), the result is exactly the same.I guess my observation is 'symmetry' of the coefficients has nothing to do with the 'symmetry' of the roots.
Edit: Not to mention in hardware, where you can neglect design for manufacturing, solder modwires everywhere, and power everything off a 10kg power supply. MVPs do exist in hardware and embedded SW.