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New Sampling Techniques Make Up For Lost Data
An unnamed reader writes: "Professors at Vanderbilt and the University of Connneticut have published a non-uniform sampling theory that could yield better quality digital signals than the standard Uniform sampling techniques pioneered by Shannon at Bell Labs.
The Vanderbilt press release and link to the published paper can be found here."
Research like this should be published and given freely to the world community, not licensed to corporations to try to make a buck.
Maybe a compromise is possible: "We hereby publish our research with half of the data removed randomly, see if you can recover what's missing."
Hereby I donate the following algorithm to the public. It's called GNU-squat.
Step 1:
Non-uniformly sample your favorite music using just 1 bit. This will ofcourse take up at least 8 bits on your harddisk but let's not nitpick. The good part is you don't even need special hardware to sample the music, just enter if the music is loud (1) or soft (0).
Step 2:
Use the Vanderbilt mathematical routines to extrapolate the rest of the data, and presto: the complete song re-appears from just one bit of data.
Doctor to patient, after looking at the reconstructed images: "Ah there is the problem. The cause of your headaches is that you have a bunch of inch-long bony spikes sticking out of your neck, plus a bunch of holes in your skull."