Data processing: measuring – calibrating – or testing – Measurement system – Statistical measurement
Reexamination Certificate
2006-01-31
2006-01-31
Wachsman, Hal (Department: 2857)
Data processing: measuring, calibrating, or testing
Measurement system
Statistical measurement
C702S069000, C702S110000, C702S189000, C706S012000, C706S014000, C706S015000, C703S002000, C703S005000, C704S200000, C704S240000
Reexamination Certificate
active
06993452
ABSTRACT:
In accordance with our invention, for two mixture-type probability distribution functions (PDF's), G, H,G(x)=∑i=1Nμigi(x),H(x)=∑k=1Kγkhk(x),where G is a mixture of N component PDF's gi(x), H is a mixture of K component PDF's hk(x), μiand γkare corresponding weights that satisfy∑i=1Nμi=1and∑k=1Kγk=1;we define their distance, DM(G, H), asDM(G,H)=minw=[ωik]∑i=1N∑k=1Kωikd(gi,hk)where d(gI, hkis the element distance between component PDF's giand hkand w satisfiein-line-formulae description="In-line Formulae" end="lead"?ωik≧0, 1≦i≦N, 1≦k≦K;in-line-formulae description="In-line Formulae" end="tail"?and∑k=1Kωik=μi,1≤i≤N,∑i=1Nωik=γk,1≤k≤K.The application of this definition of distance to various sets of real world data is demonstrated.
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Huang Qian
Liu Zhu
AT&T Corp.
Desta Elias
Wachsman Hal
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