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#include "es1.h" #define Zero_Order 0 #define First_Order 1 #define Quadratic_Spline 2 #define Cubic_Spline 3 #define Momentum_Conserving 0 #define Energy_Conserving 1 #define sqr(x) ((x)*(x

#include "es1.h" #define Zero_Order 0 #define First_Order 1 #define Quadratic_Spline 2 #define Cubic_Spline 3 #define Momentum_Conserving 0 #define Energy_Conserving 1 #define sqr(x) ((x)*(x

#include "es1.h" #define Zero_Order 0 #define First_Order 1 #define Quadratic_Spline 2 #define Cubic_Spline 3 #define Momentum_Conserving 0 #define Energy_Conserving 1 #define sqr(x) ((x)*(x

Xref: cantaloupe.srv.cs.cmu.edu sci.energy:15897 sci.image.processing:2796 sci.anthropology:2617 alt.sci.physics.new-theories:3401 sci.skeptic:43885 sci.med:59497 alt.alien.visitors:15789 Newsgroups:

Xref: cantaloupe.srv.cs.cmu.edu sci.energy:15944 sci.image.processing:2814 sci.anthropology:2626 alt.sci.physics.new-theories:3407 sci.skeptic:44014 sci.med:59575 alt.alien.visitors:15804 Newsgroups:

Xref: cantaloupe.srv.cs.cmu.edu sci.energy:15863 sci.image.processing:2775 sci.anthropology:2607 alt.sci.physics.new-theories:3393 sci.skeptic:43791 sci.med:59421 alt.alien.visitors:15769 Newsgroups:

function [p]=cm_sm34(snr_in_dB) % [p]=cm_sm34(snr_in_dB) % CM_SM34 finds the probability of error for the given % value of snr_in_dB, signal to noise ratio in dB. N=10000; E=1; % energy pe

function [p]=cm_sm34(snr_in_dB) % [p]=cm_sm34(snr_in_dB) % CM_SM34 finds the probability of error for the given % value of snr_in_dB, signal to noise ratio in dB. N=10000; E=1; % energy pe

% MATLAB script for QDPSK System clear all; SNRindB1=0:2:12; for k=1:length(SNRindB1) snr_in_dB = SNRindB1(k); N=10000; Es=1; % energy per symbol SNR=10^(snr_in_dB/10); % signal to nois

clear all; clc; k=6; M=2^k; Fs=200; Fd=1; % baud - symbol/second N=1000; %num of symbol Ts=1/Fd; %time of sym Es=1; %symbol's energy A=sqrt(2*Es/Ts); % amplitude fc=2; SNR=25; sig=randint(