代码搜索结果

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 [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 sig=sigmerge(x1,x2,ratio); %SIGMERGE Add two signals with given energy ratio in dB. % SIG=SIGMERGE(X1,X2,RATIO) adds two signals so that a given % energy ratio expressed in deciBels is satisf

function [W,A]=desa2(x, dt) % The function DESA2 calculates frequency and amplitude using Teager Energy Operator (DESA-2 algorithm) % of the data x(n,m), where n is the number of points, and m is

function [W,A]=desa1(x, dt) % The function DESA1 calculates frequency and amplitude using Teager Energy Operator (DESA-1 algorithm) % for the data x(n,m), where n is the number of points, and m is

function [W,A]=desa(x, dt) % The function DESA calculates frequency and amplitude using Teager Energy Operator % for the data x(n,m), where n is the number of points, and m is % the number of

function [W,A]=desa1m(x, dt) % The function DESA1M calculates frequency and amplitude using Teager Energy Operator (DESA-1 algorithm) % of the data x(n,m), where n is the number of points, and m

function [h,xs,w] = nspte(data,nyy,t0,t1) % The function NSPTE calculates the spectrum using Teager Energy Operator % applied to data(n,k), where n is the number of data points % and k is the num

function [h,xs,w] = nspabte(data,nyy,min_w,max_w,t0,t1) % The function NSPABTE calculates the spectrum by applying the Teager Energy Operator % to data(n,k), where n is the number of data points a

% % FUNCTION 2.5 : "cp0201_waveform" % % Generates the energy-normalized pulse waveform % % Special case of the second derivative Gaussian pulse: % SCHOLTZ'S MONOCYCLE % % ********************