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function [tfr2,OrderedSurfaces]=tfrsurf(tfr,threshold,keep,trace); % [tfr2,OrderedSurfaces]=tfrsurf(tfr,threshold,keep,trace); % extract from a time-frequency representation the biggest energy dots

function [tfr2,OrderedSurfaces]=tfrsurf(tfr,threshold,keep,trace); % [tfr2,OrderedSurfaces]=tfrsurf(tfr,threshold,keep,trace); % extract from a time-frequency representation the biggest energy dots

globals [ ticks ;;sheepStock ;;wolveStock area ] breeds [ sheep wolves ] turtles-own [ energy ] sheep-own [ grabbed? ] ;; used to prevent two wolves from eating the same sheep patches-own [ count

function [tfr2,OrderedSurfaces]=tfrsurf(tfr,threshold,keep,trace); % [tfr2,OrderedSurfaces]=tfrsurf(tfr,threshold,keep,trace); % extract from a time-frequency representation the biggest energy dots

function [margt,margf,E]=margtfr(tfr,t,f) %MARGTFR Marginals and energy of a time-frequency representation. % [MARGT,MARGF,E]=MARGTFR(TFR,T,F) calculates the time and % frequency marginals and the en

function [tfr2,OrderedSurfaces]=tfrsurf(tfr,threshold,keep,trace); % [tfr2,OrderedSurfaces]=tfrsurf(tfr,threshold,keep,trace); % extract from a time-frequency representation the biggest energy dots

function [tfr2,OrderedSurfaces]=tfrsurf(tfr,threshold,keep,trace); % [tfr2,OrderedSurfaces]=tfrsurf(tfr,threshold,keep,trace); % extract from a time-frequency representation the biggest energy dots

function [tfr2,OrderedSurfaces]=tfrsurf(tfr,threshold,keep,trace); % [tfr2,OrderedSurfaces]=tfrsurf(tfr,threshold,keep,trace); % extract from a time-frequency representation the biggest energy dots

%Called by demo2 to perform median filtering %energy balance the data demodata=ener(demodata,0,1) %pad it with about a second of zeros at the end demodata=pad(demodata,0.5); %flatten the data on f

package org.trinet.jasi; import java.util.*; import org.trinet.util.*; /** Model for determining the set of channels and time-windows are likely to have seismic energy above the noise level