LIST OF MATLAB FILES:
CHAPTER 2:
MATLAB EXERCISES:
exercise_M_2_1.m
exercise_M_2_2.m
exercise_M_2_3.m
exercise_M_2_4.m
exercise_M_2_5.m
exercise_M_2_6.m
exercise_M_2_7.m
exercise_M_2_8.m
exercise_M_2_9.m
FUNCTIONAL FILES:
[d]=density(X,N,NN,R1,R2);
This is the functional file for the estimation and plot of PDF.
[di]=distrib(X,N,NN,R1,R2);
This is the functional file for the estimation and plot of distribution.
y = fefg(N,NN,r)
Functional file for the estimation of PDF of the randomvariable.
[Y]=unif(N,R1,R2);
This is the functional file to generate uniform random variable
Y in the range [R1,R2].
PROGRAM FILES:
Section 2.4.1: Density Function
MATLAB PROGRAM: PDF.m
Uniform variable, histogram, probability and density.
Section 2.4.2. Distribution Function
MATLAB PROGRAM: Distribution.m
Estimation of distribution of uniform r.v.
CHAPTER 3:
MATLAB EXERCISES:
exercise_M_3_1.m
exercise_M_3_2.m
exercise_M_3_3.m
exercise_M_3_4.m
exercise_M_3_5.m
exercise_M_3_6.m
exercise_M_3_7.m
CHAPTER 4:
MATLAB EXERCISES:
exercise_M_4_1.m
exercise_M_4_2.m
exercise_M_4_3.m
exercise_M_4_4.m
exercise_M_4_5.m
exercise_M_4_6.m
exercise_M_4_7.m
exercise_M_4_8.m
FUNCTIONAL FILES:
r=fnorm(N,VA,ME)
The functional file for the generation of normal random variable.
yt = fnotfg(VA,ME,x)
This is file for normal PDF plot.
[x,yt] = mxnotfg(VA,ME)
Functional file for the normal PDF plot.
[x1,yt] = funtfg(R1,R2)
Functional file for plot of uniform PDF in [R1,R2].
y=mxnorcharf(VA,ME);
This is the functional file for the normal characteristic function plot.
[x,Ft] = mxnotfr(VA,ME)
Functional file for the
normal probability distribution function plot.
[x,yt] = mxnotfg_abs(VA,ME)
Functional file for the absolute value of normal r.v.
PROGRAM FILES:
example_4_3_1.m
example_4_3_2.m
example_4_3_3.m
example_4_4_1.m
example_4_4_2.m
example_4_4_3.m
example_4_5_2.m
CHAPTER 5:
MATLAB EXERCISES:
exercise_M_5_1.m
exercise_M_5_2.m
exercise_M_5_3.m
exercise_M_5_4.m
exercise_M_5_5.m
exercise_M_5_6.m
exercise_M_5_7.m
exercise_M_5_8.m
exercise_M_5_9.m
exercise_M_5_10.m
FUNCTIONAL FILES:
[xx,y]=fefgc(N,NN,r)
Functional file for the estimation and plot of PDF of the random variable.
yt=fextfg(LA,x);
Computation and plot of EXPONENTIAL PDF.
[xx,yy]=flgnfg(N,NN,VA,ME,MM)
The estimation and plot of LOGNORMAL PDF.
yt = flgntfg(VA,ME,x)
The computation and the plot of LOGNORMAL PDF.
r=flognc(N,VA,ME)
Generation and plot of LOGNORMAL variable.
yt = fnotfg(VA,ME,x)
Functional file for plot of NORMAL PDF.
[xx,yy]=frefg(N,NN,VA,MM)
Estimation and plot of RAYLEIGH PDF.
[xx,FR]=frefr(N,NN,VA,MM)
Esimation and plot of RAYLEIGH distribution.
r = frejl(N,VA)
The generation of the RAYLEIGH variable.
r= frejlc(N,VA)
Generation and plot of RAYLEIGH random variable.
yt = fretfg(VA,x)
The computation and the plot of RAYLEIGH PDF.
Ft = fretfr(VA,k,b)
The computation and the plot of RAYLEIGHdistribution.
r=fric(N,VA,C)
The generation of RICIAN random variable.
[xx,yy]=fricfg(N,NN,VA,MM,A)
The estimation and the plot of the RICIAN PDF.
[xx,FR]=fricfr(N,NN,VA,MM,A)
The estimation and the plot of the RICIAN distribution.
yt = frictfg(VA,A,x)
The computation and plot of the RICIAN PDF.
yt = frictfr(VA,A,k,b)
The computation and the plot of the RICIANdistribution.
CHAPTER 6:
MATLAB EXERCISES:
exercise_M_6_1.m
exercise_M_6_2.m
exercise_M_6_3.m
exercise_M_6_4.m
exercise_M_6_5.m
exercise_M_6_6.m
exercise_M_6_7.m
exercise_M_6_8.m
exercise_M_6_9.m
exercise_M_6_10.m
exercise_M_6_11.m
exercise_M_6_12.m
FUNCTIONAL FILES:
[xx,y]=fefgc(N,NN,r)
This is file for estimation and plot of the PDF.
X_E_6_3.m
File for the generation of the process in
Exercise.M.6.3.
X_E_6_4.m
The file for the generation of the process in
Exercise M. 6.4.
CHAPTER 7:
MATLAB EXERCISES:
exercise_M_7_1.m
exercise_M_7_2.m
exercise_M_7_3.m
exercise_M_7_4.m
exercise_M_7_5.m
exercise_M_7_6.m
exercise_M_7_7.m
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