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Energy 的代码
cm_bpske.m
function[p]=cm_bpske(snr_in_db)
% [p]=cm_bpske(snr_in_db)
% cm_bpske finds the probability of error for the given value of snr_in_db
N=5000;
E=1; %energy per symbol
s
cm_dpske.m
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
cm_dpske.m
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
m_psk_theory.h
//
// File = m_psk_theory.h
//
#ifndef _M_PSK_THEORY_H_
#define _M_PSK_THEORY_H_
void M_PskPsd( int big_m,
double carrier_freq,
double symb_energy,
cm_dpske.m
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
cm_dpske.m
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
cm_dpske.m
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
lpcrr2ar.m
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
lpcrr2ar.m
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
cm_dpske.m
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