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function [enc_comp] = cm_dpske(E,M,mapping,sequence); % [enc_comp] = cm_dpske(E,M,mapping,sequence) % CM_DPSKE differentially encodes a sequence. % E is the average energy, M is the number of c

function [enc_comp] = cm_dpske(E,M,mapping,sequence); % [enc_comp] = cm_dpske(E,M,mapping,sequence) % CM_DPSKE differentially encodes a sequence. % E is the average energy, M is the number of cons

function [enc_comp] = cm_dpske(E,M,mapping,sequence); % [enc_comp] = cm_dpske(E,M,mapping,sequence) % CM_DPSKE differentially encodes a sequence. % E is the average energy, M is the number of c

function [ar,e]=lpcrr2ar(rr); %LPCRR2AR convert autocorrelation coefs to ar coefs [AR,E]=(RR) %E is the residual energy % could test e each time and remove rows when it gets small % Cop

function [ar,e]=lpcrr2ar(rr); %LPCRR2AR convert autocorrelation coefs to ar coefs [AR,E]=(RR) %E is the residual energy % could test e each time and remove rows when it gets small % Cop

function [enc_comp] = cm_dpske(E,M,mapping,sequence); % [enc_comp] = cm_dpske(E,M,mapping,sequence) % CM_DPSKE differentially encodes a sequence. % E is the average energy, M is the number of cons

function t = teager(x,n) % function t = teager(x,n) % The Teager-Kaiser energy operator n'th order approximation. Omission of n % sets n=0 if nargin == 1 n = 0; end if n == 0 if isobject(x)

function [enc_comp] = cm_dpske(E,M,mapping,sequence); % [enc_comp] = cm_dpske(E,M,mapping,sequence) % CM_DPSKE differentially encodes a sequence. % E is the average energy, M is the number of c

clear; global neighbour; global MR_reliability; global ME_reliability; global RE_reliability; global link_reliability; global link_energy; global MR_parent; global ME_parent; global RE_parent

clear; global neighbour; global MR_reliability; global ME_reliability; global RE_reliability; global link_reliability; global link_energy; global MR_parent; global ME_parent; global RE_parent