On Mon, Mar 9, 2009 at 8:49 AM, Bob McGwier <[email protected]> wrote:
> Let [B1, B2, B3, B4, ... BN] be powers of five adjacent bins. > > Put them in rank order > > [R1, R2, R3, R4, ... RN] > > If N is even, the rank order mean is (R_(N/2) + R_/(N/2 +1))*0.5. > If N is odd, the rank order mean is R_(N/2 +0.5) Here the rank-order mean *is* the median: the quantile value for #quantiles = 2. > But I still see a problem: > > I suggest that in order to prevent "scalloping" of a swept tone across this > algorithm or any other like it, that some "bin" in the lossy compression > set of bins must ALWAYS be forced to take on the large of the power spectrum > otherwise your alternative min/max/min/max might jump up and down as you > sweep a tone through it. Or did I miss something? Most surely. Why not some kind of VQ-codebook based on deltas between successive frames? Apart from the amount of the research required to build it, of course... Neural net fans invited to take this on also! ;-) Frank -- For an omnipotent and omniscient being, God has made some really lousy earthly staffing decisions. -- John Cole
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