Re: Audio pattern matching



On Mar 13, 2:43 am, "Ikaro" <ikarosi...@xxxxxxxxxxx> wrote:
I have thought of cross-correlating all of the patterns searched with
each other, this cross-correlation can be calculated offline, and, can
possibly be used to optimize the realtime 'search' for the best fit
pattern ( in a tree structure or so ).

This seems like a good idea. I would however, try to transform the
feature space first into orthogonal sets using principal component
analysis (PCA). You can then create clusters along each dimension
(starting wit the biggest one first) to reduce your search. If you
feature space is very big you can also reduce it by choosing the
largest components of the PCA.

Can u tell me how u measured the CPU usage.And about the correlation
algorithm, i actually need to do a password authentication of the sort
on my DSP processor.I gathered that this can be done using correlation
algorithm.(basically string matching).Can u tell me how u wrote the
algorithm as in, a flow of the program.
Thanks in advance

.



Relevant Pages

  • Re: Principal Component Analysis- Do I need to scale (i.e. normalize) my variables?
    ... This is a correlation matrix on 4 z-scores. ... I need to perform PCA on 20 or so variables (ex. ... mention that standardization undoes any previous linear but not non- ... The larger the ratio of the ...
    (sci.stat.math)
  • Re: Principal Component Analysis
    ... If you just have numerical and binary data, Pearson correlation will not be ... If your categorical variables are ordered-categorical, ... then place these in a single matrix and analyze that matrix by PCA. ... comparison of my variables and then performing hierarchical clustering ...
    (sci.stat.consult)
  • Re: Principal Component Analysis- Do I need to scale (i.e. normalize) my variables?
    ... This is a correlation matrix on 4 z-scores. ... adding them all to my PCA. ... I'm using SPSS so I'd ... mention that standardization undoes any previous linear but not non- ...
    (sci.stat.math)
  • Re: Audio pattern matching
    ... feature space first into orthogonal sets using principal component ... largest components of the PCA. ... Why would you want to do this on a DSP processor? ...
    (comp.dsp)
  • Re: Audio pattern matching
    ... feature space first into orthogonal sets using principal component ... largest components of the PCA. ... Why would you want to do this on a DSP processor? ...
    (comp.dsp)