|국가/구분||United States(US) Patent 등록|
|미국특허분류(USC)||706/025 ; 706/015 ; 706/016 ; 706/021|
|발명자 / 주소|
|출원인 / 주소|
|대리인 / 주소||
|인용정보||피인용 횟수 : 27 인용 특허 : 12|
A signal processing system and method for accomplishing signal processing using a neural network that incorporates adaptive weight updating and adaptive pruning for tracking non-stationary signal is presented. The method updates the structural parameters of the neural network in principal component space (eigenspace) for every new available input sample. The non-stationary signal is recursively transformed into a matrix of eigenvectors with a corresponding matrix of eigenvalues. The method applies principal component pruning consisting of deleting the ei...
[ What is claimed is:] [1.] A neural network having a plurality of weights for receiving a sequence of signal inputs x.sub.t,x.sub.t+1, x.sub.t+2 . . . , each input x.sub.t comprising n signal components x.sub.1 (t), x.sub.2 (t-1), . . . , x.sub.n (t-(n-1)) and for generating an output signal that anticipates the behavior of said input signal for a number of time samples ahead, said neural network comprising:transformation means for transforming a set of n signal inputs into a set of principal components having a saliency assigned to each of said princip...