dct feature compression

the "curse of dimensionality" -- what can be done ?

PCA needs to see *all* of your traindata (not feasible, some times)
also there are mindbending random projections and walsh-haddamard
i mostly end up using a much simpler receipe: do a dct, throw away hf (probably noise only), and idct back: