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m bdt_f529.m

% MATLAB script that generates the probability of error versus the signal to noise ratio initial_snr=0; final_snr=15; snr_step=1; tolerance=1e-7; % Tolerance used for the integration min
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m ls_mse_calc.m

%Function Declaration: function ms_error=LS_MSE_calc(X,H,Y); %This function generates mean squared error for the the LS estimator.. %EVALUATION OF Hls Hls =(inv(X)) * Y; %The simplest of 'em all
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www.eeworm.com/read/299459/7850881

m gsamp.m

function X=gsamp(varargin) % GSAMP Generates sample from Gaussian distribution. % % Synopsis: % X = gsamp( Mean, Cov, num_data ) % X = gsamp( model, num_data ) % % Description: % X = gsamp(Mean,Co
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m dftmatrix.m

%DFTMATRIX generates N X N DFT Transformation Matrix. % T=dftmatrix(N) returns the DFT coefficients for a N point DFT. % Copyright (c) 1999-2003 The University of Texas % All Rights Reserved. %
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www.eeworm.com/read/398819/7918934

m fmconst.m

function [y,iflaw] = fmconst(N,fnorm,t0); %FMCONST Signal with constant frequency modulation. % [Y,IFLAW] = FMCONST(N,FNORM,T0) generates a frequency modulation % with a constant frequency fnorm. %
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m anastep.m

function y=anastep(N,ti); %ANASTEP Analytic projection of unit step signal. % Y=ANASTEP(N,TI) generates the analytic projection of a % unit step signal. % % N : number of points. % TI : starting pos
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m altes.m

function x=altes(N,fmin,fmax,alpha) ; %ALTES Altes signal in time domain. % X=ALTES(N,FMIN,FMAX,ALPHA) generates the Altes signal in % the time domain. % % N : number of points in time % FMIN
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www.eeworm.com/read/198548/7928261

m fmconst.m

function [y,iflaw] = fmconst(N,fnorm,t0); %FMCONST Signal with constant frequency modulation. % [Y,IFLAW] = FMCONST(N,FNORM,T0) generates a frequency modulation % with a constant frequency fnorm.
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www.eeworm.com/read/198548/7928271

m anastep.m

function y=anastep(N,ti); %ANASTEP Analytic projection of unit step signal. % Y=ANASTEP(N,TI) generates the analytic projection of a % unit step signal. % % N : number of points. % TI : starting pos
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www.eeworm.com/read/298705/7944568

m ls_mse_calc.m

%Function Declaration: function ms_error=LS_MSE_calc(X,H,Y); %This function generates mean squared error for the the LS estimator.. %EVALUATION OF Hls Hls =(inv(X)) * Y; %The simplest of 'em all
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