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hi
u can search in gigapedia.com
???
---------- Post added at 09:27 PM ---------- Previous post was at 09:24 PM ----------
hi
u can search in gigapedia.com
???
Hi fikrul
If u want using NNt for classification, U have more than one output (number of your classes), and value of NNt in each output, represent the similarity of input pattern to each of classes
.
notice that we use Transfer functions in output of each of each layer; then if u use log...
Hi
u must extract some feature , and then use them as input of NNT.
also u must select some of them as train and test data.
if u have 3 target, your NNt has 3 output that for first class, first output must set as .98 and .02 for two else, and so on.
spouse
X=input_data; matrix size is N*M...
Re: Need help to contrast in time domain & frequency dom
Hi
We can decompose signal (x(t)) by transforming to frequency domain, as u know:
x(t)= A+B*sin(wt)+C*sin(2wt)+D*sin(3wt)+...
that, A,B,C,D are amplitude of single-frequency signal that combined and create the x(t).
Good luck
:D
Hi
is there anybody that study on this field :?:
I Must find a template image by some zone (3x) and some rotate (30 degree) .
plz, suggest me some useful feature or paper.
Tnx :D
Hi
there is some define as abs, mse, nmse, ... that u can use them.
but best error definition is depended on signal, eeg, ecg, emg, ....
u can use MSE error as a global discriminator,
tanx :D
hi
u must use pic=aviread('file name',frame_index);
and then look up in matlab "addframe", and use that tamplet code to create new movie for your selected frame.
hi
:D
it is very easy to find!
u can search in Google , if don't know any site , u can search in Google by Image searcher.
I find this page in first search page of Google.
https://www.tubecad.com/2007/06/blog0111.htm
good luck.
u have a multi-project.
i don't think anybody study in both (speech ==> text and text ==> speech)!
u can reply this in two replys ,
for speech ==> text , u can study HMM and for it's progarms u can search in matlab's site.
for text ==> speech , u must study OCRs (spetial yours language ).
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