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m ip_07_01.m

% MATLAB script for Illustrated Problem 7.1. clear echo on T=1; delta_T=T/200; % sampling interval alpha=0.5; % rolloff factor fc=40/T; % carrier frequency
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m ip_03_11.m

% MATLAB script for Illustrative Problem 3.11. % Demonstration script for frequency modulation. The message signal % is m(t)=sinc(100t). clear echo on t0=.2; % sign
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m ip_06_03.m

% MATLAB script for Illustrative Problem 6.3. clear echo on f_cutoff=2000; % the desired cutoff frequency f_stopband=2500; % the actual stopband frequency fs=10000; % the sampling frequen
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m ip_09_04.m

% MATLAB script for Illustrative Problem 9.4. clear echo on Lc=20; % number of chips per bit A1=3; % amplitude of the first sinusoidal interference A2=7; % amplitude of the seco
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m writesdpa.m

function ret=writesdpa(fname,A,b,c,K,pars) %WRITESDPA Take a problem in SeDuMi format and writes it in SDPA format % % Usage: % % ret=writesdpa(fname,A,b,c,K,pars) % % fname Name of
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m demhmc3.m

%DEMHMC3 Demonstrate Bayesian regression with Hybrid Monte Carlo sampling. % % Description % The problem consists of one input variable X and one target variable % T with data generated by sampling X
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m demolgd1.m

%DEMOLGD1 Demonstrate simple MLP optimisation with on-line gradient descent % % Description % The problem consists of one input variable X and one target variable % T with data generated by sampling X
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m demgp.m

%DEMGP Demonstrate simple regression using a Gaussian Process. % % Description % The problem consists of one input variable X and one target variable % T. The values in X are chosen in two separated c
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m demhmc2.m

%DEMHMC2 Demonstrate Bayesian regression with Hybrid Monte Carlo sampling. % % Description % The problem consists of one input variable X and one target variable % T with data generated by sampling X
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m demrbf1.m

%DEMRBF1 Demonstrate simple regression using a radial basis function network. % % Description % The problem consists of one input variable X and one target variable % T with data generated by sampling
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