MLABlibrarysvnkaklikMLAB_E8magsvn

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/dokumenty/skolni/PDS/data/chodba_braun.png
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/dokumenty/skolni/PDS/data/chodba_braun_rozdeleni.png
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/dokumenty/skolni/PDS/data/chodba_utlum.png
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/dokumenty/skolni/PDS/data/fit.log
194,3 → 194,1153
residuals are weighted equally (unit weight)
function used for fitting: g(x)
*******************************************************************************
Thu Nov 15 22:42:45 2012
FIT: data read from "chodba1" using (-30.0/151.0 * $1+31.0):($3)
format = x:z
#datapoints = 151
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 371645 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.8224
initial set of free parameter values
k = 1
a = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2188.41
rel. change during last iteration : -4.43381e-09
degrees of freedom (FIT_NDF) : 149
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.8324
variance of residuals (reduced chisquare) = WSSR/ndf : 14.6873
Final set of parameters Asymptotic Standard Error
======================= ==========================
k = -0.179047 +/- 0.03601 (20.11%)
a = -28.6515 +/- 0.6521 (2.276%)
correlation matrix of the fit parameters:
k a
k 1.000
a -0.878 1.000
*******************************************************************************
Thu Nov 15 22:42:46 2012
FIT: data read from "chodba2" using (-30.0/126.0 * $1+30.0):($3)
format = x:z
#datapoints = 126
residuals are weighted equally (unit weight)
function used for fitting: q(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 284424 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.195
initial set of free parameter values
j = 1
b = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2029.63
rel. change during last iteration : -3.96972e-09
degrees of freedom (FIT_NDF) : 124
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.04573
variance of residuals (reduced chisquare) = WSSR/ndf : 16.368
Final set of parameters Asymptotic Standard Error
======================= ==========================
j = -0.139554 +/- 0.04162 (29.82%)
b = -28.3439 +/- 0.7166 (2.528%)
correlation matrix of the fit parameters:
j b
j 1.000
b -0.864 1.000
*******************************************************************************
Thu Nov 15 22:42:46 2012
FIT: data read from "chodba3" using (-30.0/111.0 * $1+30.0):($3)
format = x:z
#datapoints = 111
residuals are weighted equally (unit weight)
function used for fitting: h(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 267489 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.1852
initial set of free parameter values
l = 1
c = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2324.08
rel. change during last iteration : -3.89659e-09
degrees of freedom (FIT_NDF) : 109
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.61756
variance of residuals (reduced chisquare) = WSSR/ndf : 21.3219
Final set of parameters Asymptotic Standard Error
======================= ==========================
l = -0.459805 +/- 0.05061 (11.01%)
c = -24.5131 +/- 0.8707 (3.552%)
correlation matrix of the fit parameters:
l c
l 1.000
c -0.864 1.000
*******************************************************************************
Thu Nov 15 22:46:01 2012
FIT: data read from "chodba1" using (-30.0/151.0 * $1+31.0):($3)
format = x:z
#datapoints = 151
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 371645 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.8224
initial set of free parameter values
k = 1
a = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2188.41
rel. change during last iteration : -4.43381e-09
degrees of freedom (FIT_NDF) : 149
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.8324
variance of residuals (reduced chisquare) = WSSR/ndf : 14.6873
Final set of parameters Asymptotic Standard Error
======================= ==========================
k = -0.179047 +/- 0.03601 (20.11%)
a = -28.6515 +/- 0.6521 (2.276%)
correlation matrix of the fit parameters:
k a
k 1.000
a -0.878 1.000
*******************************************************************************
Thu Nov 15 22:46:19 2012
FIT: data read from "chodba1" using (-30.0/151.0 * $1+31.0):($3)
format = x:z
#datapoints = 151
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 371645 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.8224
initial set of free parameter values
k = 1
a = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2188.41
rel. change during last iteration : -4.43381e-09
degrees of freedom (FIT_NDF) : 149
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.8324
variance of residuals (reduced chisquare) = WSSR/ndf : 14.6873
Final set of parameters Asymptotic Standard Error
======================= ==========================
k = -0.179047 +/- 0.03601 (20.11%)
a = -28.6515 +/- 0.6521 (2.276%)
correlation matrix of the fit parameters:
k a
k 1.000
a -0.878 1.000
*******************************************************************************
Thu Nov 15 22:46:44 2012
FIT: data read from "chodba1" using (-30.0/151.0 * $1+31.0):($3)
format = x:z
#datapoints = 151
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 371645 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.8224
initial set of free parameter values
k = 1
a = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2188.41
rel. change during last iteration : -4.43381e-09
degrees of freedom (FIT_NDF) : 149
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.8324
variance of residuals (reduced chisquare) = WSSR/ndf : 14.6873
Final set of parameters Asymptotic Standard Error
======================= ==========================
k = -0.179047 +/- 0.03601 (20.11%)
a = -28.6515 +/- 0.6521 (2.276%)
correlation matrix of the fit parameters:
k a
k 1.000
a -0.878 1.000
*******************************************************************************
Thu Nov 15 22:47:54 2012
FIT: data read from "chodba1" using (-30.0/151.0 * $1+31.0):($3)
format = x:z
#datapoints = 151
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 371645 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.8224
initial set of free parameter values
k = 1
a = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2188.41
rel. change during last iteration : -4.43381e-09
degrees of freedom (FIT_NDF) : 149
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.8324
variance of residuals (reduced chisquare) = WSSR/ndf : 14.6873
Final set of parameters Asymptotic Standard Error
======================= ==========================
k = -0.179047 +/- 0.03601 (20.11%)
a = -28.6515 +/- 0.6521 (2.276%)
correlation matrix of the fit parameters:
k a
k 1.000
a -0.878 1.000
*******************************************************************************
Thu Nov 15 22:48:11 2012
FIT: data read from "chodba1" using (-30.0/151.0 * $1+31.0):($3)
format = x:z
#datapoints = 151
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 371645 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.8224
initial set of free parameter values
k = 1
a = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2188.41
rel. change during last iteration : -4.43381e-09
degrees of freedom (FIT_NDF) : 149
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.8324
variance of residuals (reduced chisquare) = WSSR/ndf : 14.6873
Final set of parameters Asymptotic Standard Error
======================= ==========================
k = -0.179047 +/- 0.03601 (20.11%)
a = -28.6515 +/- 0.6521 (2.276%)
correlation matrix of the fit parameters:
k a
k 1.000
a -0.878 1.000
*******************************************************************************
Thu Nov 15 22:48:25 2012
FIT: data read from "chodba1" using (-30.0/151.0 * $1+31.0):($3)
format = x:z
#datapoints = 151
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 371645 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.8224
initial set of free parameter values
k = 1
a = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2188.41
rel. change during last iteration : -4.43381e-09
degrees of freedom (FIT_NDF) : 149
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.8324
variance of residuals (reduced chisquare) = WSSR/ndf : 14.6873
Final set of parameters Asymptotic Standard Error
======================= ==========================
k = -0.179047 +/- 0.03601 (20.11%)
a = -28.6515 +/- 0.6521 (2.276%)
correlation matrix of the fit parameters:
k a
k 1.000
a -0.878 1.000
*******************************************************************************
Thu Nov 15 22:51:08 2012
FIT: data read from "chodba1" using (-30.0/151.0 * $1+31.0):($3)
format = x:z
#datapoints = 151
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 371645 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.8224
initial set of free parameter values
k = 1
a = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2188.41
rel. change during last iteration : -4.43381e-09
degrees of freedom (FIT_NDF) : 149
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.8324
variance of residuals (reduced chisquare) = WSSR/ndf : 14.6873
Final set of parameters Asymptotic Standard Error
======================= ==========================
k = -0.179047 +/- 0.03601 (20.11%)
a = -28.6515 +/- 0.6521 (2.276%)
correlation matrix of the fit parameters:
k a
k 1.000
a -0.878 1.000
*******************************************************************************
Thu Nov 15 23:04:20 2012
FIT: data read from "chodba1" using (-30.0/151.0 * $1+31.0):($3)
format = x:z
#datapoints = 151
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 371645 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.8224
initial set of free parameter values
k = 1
a = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2188.41
rel. change during last iteration : -4.43381e-09
degrees of freedom (FIT_NDF) : 149
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.8324
variance of residuals (reduced chisquare) = WSSR/ndf : 14.6873
Final set of parameters Asymptotic Standard Error
======================= ==========================
k = -0.179047 +/- 0.03601 (20.11%)
a = -28.6515 +/- 0.6521 (2.276%)
correlation matrix of the fit parameters:
k a
k 1.000
a -0.878 1.000
*******************************************************************************
Thu Nov 15 23:04:56 2012
FIT: data read from "chodba1" using (-30.0/151.0 * $1+31.0):($3)
format = x:z
#datapoints = 151
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 371645 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.8224
initial set of free parameter values
k = 1
a = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2188.41
rel. change during last iteration : -4.43381e-09
degrees of freedom (FIT_NDF) : 149
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.8324
variance of residuals (reduced chisquare) = WSSR/ndf : 14.6873
Final set of parameters Asymptotic Standard Error
======================= ==========================
k = -0.179047 +/- 0.03601 (20.11%)
a = -28.6515 +/- 0.6521 (2.276%)
correlation matrix of the fit parameters:
k a
k 1.000
a -0.878 1.000
*******************************************************************************
Thu Nov 15 23:06:04 2012
FIT: data read from "chodba1" using (-30.0/151.0 * $1+31.0):($3)
format = x:z
#datapoints = 151
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 371645 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.8224
initial set of free parameter values
k = 1
a = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2188.41
rel. change during last iteration : -4.43381e-09
degrees of freedom (FIT_NDF) : 149
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.8324
variance of residuals (reduced chisquare) = WSSR/ndf : 14.6873
Final set of parameters Asymptotic Standard Error
======================= ==========================
k = -0.179047 +/- 0.03601 (20.11%)
a = -28.6515 +/- 0.6521 (2.276%)
correlation matrix of the fit parameters:
k a
k 1.000
a -0.878 1.000
*******************************************************************************
Thu Nov 15 23:07:21 2012
FIT: data read from "chodba1" using (-30.0/151.0 * $1+31.0):($3)
format = x:z
#datapoints = 151
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 371645 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.8224
initial set of free parameter values
k = 1
a = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2188.41
rel. change during last iteration : -4.43381e-09
degrees of freedom (FIT_NDF) : 149
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.8324
variance of residuals (reduced chisquare) = WSSR/ndf : 14.6873
Final set of parameters Asymptotic Standard Error
======================= ==========================
k = -0.179047 +/- 0.03601 (20.11%)
a = -28.6515 +/- 0.6521 (2.276%)
correlation matrix of the fit parameters:
k a
k 1.000
a -0.878 1.000
*******************************************************************************
Thu Nov 15 23:08:57 2012
FIT: data read from "chodba1" using (-30.0/151.0 * $1+31.0):($3)
format = x:z
#datapoints = 151
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 371645 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.8224
initial set of free parameter values
k = 1
a = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2188.41
rel. change during last iteration : -4.43381e-09
degrees of freedom (FIT_NDF) : 149
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.8324
variance of residuals (reduced chisquare) = WSSR/ndf : 14.6873
Final set of parameters Asymptotic Standard Error
======================= ==========================
k = -0.179047 +/- 0.03601 (20.11%)
a = -28.6515 +/- 0.6521 (2.276%)
correlation matrix of the fit parameters:
k a
k 1.000
a -0.878 1.000
*******************************************************************************
Thu Nov 15 23:17:39 2012
FIT: data read from "chodba1" using (-30.0/151.0 * $1+31.0):($3)
format = x:z
#datapoints = 151
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 371645 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.8224
initial set of free parameter values
k = 1
a = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2188.41
rel. change during last iteration : -4.43381e-09
degrees of freedom (FIT_NDF) : 149
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.8324
variance of residuals (reduced chisquare) = WSSR/ndf : 14.6873
Final set of parameters Asymptotic Standard Error
======================= ==========================
k = -0.179047 +/- 0.03601 (20.11%)
a = -28.6515 +/- 0.6521 (2.276%)
correlation matrix of the fit parameters:
k a
k 1.000
a -0.878 1.000
*******************************************************************************
Thu Nov 15 23:18:11 2012
FIT: data read from "chodba1" using (-30.0/151.0 * $1+31.0):($3)
format = x:z
#datapoints = 151
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 371645 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.8224
initial set of free parameter values
k = 1
a = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2188.41
rel. change during last iteration : -4.43381e-09
degrees of freedom (FIT_NDF) : 149
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.8324
variance of residuals (reduced chisquare) = WSSR/ndf : 14.6873
Final set of parameters Asymptotic Standard Error
======================= ==========================
k = -0.179047 +/- 0.03601 (20.11%)
a = -28.6515 +/- 0.6521 (2.276%)
correlation matrix of the fit parameters:
k a
k 1.000
a -0.878 1.000
*******************************************************************************
Thu Nov 15 23:18:11 2012
FIT: data read from "mistnost1" using (-12.0/58.0 * $1+17.0):($3)
format = x:z
#datapoints = 58
residuals are weighted equally (unit weight)
function used for fitting: q(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 187251 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 8.11576
initial set of free parameter values
j = 1
b = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2254.26
rel. change during last iteration : -5.61338e-08
degrees of freedom (FIT_NDF) : 56
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.34465
variance of residuals (reduced chisquare) = WSSR/ndf : 40.2546
Final set of parameters Asymptotic Standard Error
======================= ==========================
j = -0.61557 +/- 0.2405 (39.07%)
b = -37.5946 +/- 2.75 (7.315%)
correlation matrix of the fit parameters:
j b
j 1.000
b -0.953 1.000
*******************************************************************************
Thu Nov 15 23:45:27 2012
FIT: data read from "chodba1" using (-30.0/151.0 * $1+31.0):($3)
format = x:z
#datapoints = 151
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 371645 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.8224
initial set of free parameter values
k = 1
a = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2188.41
rel. change during last iteration : -4.43381e-09
degrees of freedom (FIT_NDF) : 149
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.8324
variance of residuals (reduced chisquare) = WSSR/ndf : 14.6873
Final set of parameters Asymptotic Standard Error
======================= ==========================
k = -0.179047 +/- 0.03601 (20.11%)
a = -28.6515 +/- 0.6521 (2.276%)
correlation matrix of the fit parameters:
k a
k 1.000
a -0.878 1.000
*******************************************************************************
Thu Nov 15 23:45:47 2012
FIT: data read from "chodba1" using (-30.0/151.0 * $1+31.0):($3)
format = x:z
#datapoints = 151
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 371645 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.8224
initial set of free parameter values
k = 1
a = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2188.41
rel. change during last iteration : -4.43381e-09
degrees of freedom (FIT_NDF) : 149
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.8324
variance of residuals (reduced chisquare) = WSSR/ndf : 14.6873
Final set of parameters Asymptotic Standard Error
======================= ==========================
k = -0.179047 +/- 0.03601 (20.11%)
a = -28.6515 +/- 0.6521 (2.276%)
correlation matrix of the fit parameters:
k a
k 1.000
a -0.878 1.000
*******************************************************************************
Thu Nov 15 23:45:47 2012
FIT: data read from "mistnost1" using (-12.0/58.0 * $1+17.0):($3)
format = x:z
#datapoints = 58
residuals are weighted equally (unit weight)
function used for fitting: q(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 187251 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 8.11576
initial set of free parameter values
j = 1
b = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2254.26
rel. change during last iteration : -5.61338e-08
degrees of freedom (FIT_NDF) : 56
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.34465
variance of residuals (reduced chisquare) = WSSR/ndf : 40.2546
Final set of parameters Asymptotic Standard Error
======================= ==========================
j = -0.61557 +/- 0.2405 (39.07%)
b = -37.5946 +/- 2.75 (7.315%)
correlation matrix of the fit parameters:
j b
j 1.000
b -0.953 1.000
*******************************************************************************
Thu Nov 15 23:46:49 2012
FIT: data read from "chodba1" using (-30.0/151.0 * $1+31.0):($3)
format = x:z
#datapoints = 151
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 371645 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.8224
initial set of free parameter values
k = 1
a = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2188.41
rel. change during last iteration : -4.43381e-09
degrees of freedom (FIT_NDF) : 149
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.8324
variance of residuals (reduced chisquare) = WSSR/ndf : 14.6873
Final set of parameters Asymptotic Standard Error
======================= ==========================
k = -0.179047 +/- 0.03601 (20.11%)
a = -28.6515 +/- 0.6521 (2.276%)
correlation matrix of the fit parameters:
k a
k 1.000
a -0.878 1.000
*******************************************************************************
Thu Nov 15 23:47:02 2012
FIT: data read from "chodba1" using (-30.0/151.0 * $1+31.0):($3)
format = x:z
#datapoints = 151
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 371645 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.8224
initial set of free parameter values
k = 1
a = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2188.41
rel. change during last iteration : -4.43381e-09
degrees of freedom (FIT_NDF) : 149
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.8324
variance of residuals (reduced chisquare) = WSSR/ndf : 14.6873
Final set of parameters Asymptotic Standard Error
======================= ==========================
k = -0.179047 +/- 0.03601 (20.11%)
a = -28.6515 +/- 0.6521 (2.276%)
correlation matrix of the fit parameters:
k a
k 1.000
a -0.878 1.000
*******************************************************************************
Thu Nov 15 23:47:21 2012
FIT: data read from "chodba1" using (-30.0/151.0 * $1+31.0):($3)
format = x:z
#datapoints = 151
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 371645 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 12.8224
initial set of free parameter values
k = 1
a = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2188.41
rel. change during last iteration : -4.43381e-09
degrees of freedom (FIT_NDF) : 149
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.8324
variance of residuals (reduced chisquare) = WSSR/ndf : 14.6873
Final set of parameters Asymptotic Standard Error
======================= ==========================
k = -0.179047 +/- 0.03601 (20.11%)
a = -28.6515 +/- 0.6521 (2.276%)
correlation matrix of the fit parameters:
k a
k 1.000
a -0.878 1.000
*******************************************************************************
Thu Nov 15 23:47:21 2012
FIT: data read from "mistnost1" using (-12.0/58.0 * $1+17.0):($3)
format = x:z
#datapoints = 58
residuals are weighted equally (unit weight)
function used for fitting: q(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 187251 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 8.11576
initial set of free parameter values
j = 1
b = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2254.26
rel. change during last iteration : -5.61338e-08
degrees of freedom (FIT_NDF) : 56
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.34465
variance of residuals (reduced chisquare) = WSSR/ndf : 40.2546
Final set of parameters Asymptotic Standard Error
======================= ==========================
j = -0.61557 +/- 0.2405 (39.07%)
b = -37.5946 +/- 2.75 (7.315%)
correlation matrix of the fit parameters:
j b
j 1.000
b -0.953 1.000

/dokumenty/skolni/PDS/data/mistnost.png
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svn:mime-type = application/octet-stream

/dokumenty/skolni/PDS/data/plot.gp
1,5 → 1,5
set terminal png
set output "chadba_utlum.png"
set output "chodba_utlum.png"
set xlabel "vzdalenost [m]"
set ylabel "intenzita signalu [dBm]"
9,20 → 9,36
q(x) = j*x + b
h(x) = l*x + c
#fit q(x) "chodba2" using (-30.0/126.0 * $1+30.0):($3) via j,b
fit g(x) "chodba1" using (-30.0/151.0 * $1+31.0):($3) via k,a
#fit h(x) "chodba3" using (-30.0/111.0 * $1+30.0):($3) via l,c
set xrange [1:50]
fit g(x) "chodba1" using (-30.0/151.0 * $1+31.0):($3), "chodba2" using (-30.0/126.0 * $1+30.0):($3) via k,a
l=k
c=a - 3*0.65
plot "chodba1" using (-30.0/151.0 * $1+31.0):($3) with points title "1.pokus", "chodba2" using (-30.0/126.0 * $1+30.0):($3) with points title "2.pokus", "chodba3" using (-30.0/111.0 * $1+30.0):($3) with points title "3.pokus", g(x), q(x), h(x)
plot "chodba1" using (-30.0/151.0 * $1+31.0):($3) with points title "1.pokus", "chodba2" using (-30.0/126.0 * $1+30.0):($3) with points title "2.pokus", "chodba3" using (-30.0/111.0 * $1+30.0):($3) with points title "3.pokus", g(x) title "mean", h(x) title "90% probability treshold"
set output "chodba_braun.png"
plot "Chodba_s_lidmi.dat" using (-30.0/151.0 * $1+30.0):($3) with points notitle
set autoscale x
fit q(x) "mistnost1" using (-12.0/58.0 * $1+17.0):($3) via j,b
set output "mistnost.png"
plot "mistnost1" using (-12.0/58.0 * $1+17.0):($3) with points notitle
plot "mistnost1" using (-12.0/58.0 * $1+17.0):($3) with points notitle, q(x)
set xlabel "cas [s]"
set ylabel "intenzita signalu [dBm]"
bin(x,size) = floor(1.0*x/size)*size
set output "chodba_braun.png"
plot "Chodba_s_lidmi.dat" using (0.2 * $1):($3) with points notitle
set output "chodba_braun_rozdeleni.png"
plot "Chodba_s_lidmi.dat" using (bin($3, 1.0)):($3) with boxes notitle

/dokumenty/skolni/PDS/data/plot.gp~
1,5 → 1,5
set terminal png
set output "chadba_utlum.png"
set output "chodba_utlum.png"
set xlabel "vzdalenost [m]"
set ylabel "intenzita signalu [dBm]"
9,18 → 9,36
q(x) = j*x + b
h(x) = l*x + c
fit g(x) "chodba1" using (-30.0/151.0 * $1+31.0):($3) via k,a
fit q(x) "chodba2" using (-30.0/126.0 * $1+30.0):($3) via j,b
fit h(x) "chodba3" using (-30.0/111.0 * $1+30.0):($3) via l,c
#fit h(x) "chodba3" using (-30.0/111.0 * $1+30.0):($3) via l,c
set xrange [1:50]
plot "chodba1" using (-30.0/151.0 * $1+31.0):($3) with points title "1.pokus", "chodba2" using (-30.0/126.0 * $1+30.0):($3) with points title "2.pokus", "chodba3" using (-30.0/111.0 * $1+30.0):($3) with points title "3.pokus", g(x), q(x), h(x)
l=k
c=a - 3*0.65
set output "chodba_braun.png"
plot "Chodba_s_lidmi.dat" using (-30.0/151.0 * $1+30.0):($3) with points notitle
plot "chodba1" using (-30.0/151.0 * $1+31.0):($3) with points title "1.pokus", "chodba2" using (-30.0/126.0 * $1+30.0):($3) with points title "2.pokus", "chodba3" using (-30.0/111.0 * $1+30.0):($3) with points title "3.pokus", g(x) title "mean", h(x) "90 probability treshold"
set autoscale x
fit q(x) "mistnost1" using (-12.0/58.0 * $1+17.0):($3) via j,b
set output "mistnost.png"
plot "mistnost1" using (-12.0/58.0 * $1+17.0):($3) with points notitle
plot "mistnost1" using (-12.0/58.0 * $1+17.0):($3) with points notitle, q(x)
set xlabel "cas [s]"
set ylabel "intenzita signalu [dBm]"
bin(x,size) = floor(1.0*x/size)*size
set output "chodba_braun.png"
plot "Chodba_s_lidmi.dat" using (0.2 * $1):($3) with points notitle
set output "chodba_braun_rozdeleni.png"
plot "Chodba_s_lidmi.dat" using (bin($3, 1.0)):($3) with boxes notitle

/dokumenty/skolni/PDS/protokol.pdf
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/dokumenty/skolni/PDS/protokol.tex
0,0 → 1,140
\documentclass[12pt,notitlepage,fleqn]{article}
\usepackage[czech]{babel}
\usepackage[pdftex]{graphicx}
\usepackage{fancyhdr,multicol} %nastavení češtiny, fancy, grafiky, sloupce
\usepackage[utf8]{inputenc} %vstupni soubory v kodovani UTF-8
\usepackage[a4paper,text={17cm,25cm},centering]{geometry} %nastavení okrajů
\usepackage{rotating}
% Here it is: the code that adjusts justification and spacing around caption.
\makeatletter
% http://www.texnik.de/floats/caption.phtml
% This does spacing around caption.
\setlength{\abovecaptionskip}{2pt} % 0.5cm as an example
\setlength{\belowcaptionskip}{2pt} % 0.5cm as an example
% This does justification (left) of caption.
\long\def\@makecaption#1#2{%
\vskip\abovecaptionskip
\sbox\@tempboxa{#1: #2}%
\ifdim \wd\@tempboxa >\hsize
#1: #2\par
\else
\global \@minipagefalse
\hb@xt@\hsize{\box\@tempboxa\hfil}%
\fi
\vskip\belowcaptionskip}
\makeatother
\begin{document}
\pagestyle{empty} %nastavení stylu stránky
\def\tablename{\textbf {Tabulka}}
\begin {table}[tbp]
\begin {center}
\begin{tabular}{|l|l|}
\hline
\multicolumn{ 2}{|c|}{\Large \bfseries Pozemní a družicové spoje \huge\strut} \\ \hline
\textbf{Datum měření:} {7.11.2012} & \textbf{Jméno:} {Jakub Kákona} \\ \hline
\textbf{Pracovní skupina:} {2} & \textbf{Hodina:} {St 15:15} \\ \hline
\textbf{Spolupracovníci: 5} {} & \textbf{Hodnocení:} \\ \hline
\end{tabular}
\end {center}
\end {table}
\begin{center} \Large{měření šíření elektromagnetických vln v budově
} \end{center}
\begin{abstract}
\end{abstract}
\subsection{Zadání}
Na základě měření šíření elektromagnetických vln určete:
\begin{enumerate}
\item Parametry empirického modelu pro šíření na přímou viditelnost
\item Parametry empirického modelu pro zastíněný spoj
\item Statistický popis pro časově proměnlivé prostředí.
\item při použití empirického modelu z bodu 1. vypočtěte: Minimální přijímanou výkonovou úroveň ve vzdálenosti 45 metrů s pravděpodobností 90 \%
\end{enumerate}
\section{Výsledky měření}
\subsection{Přenos na přímou viditelnost}
Vzhledem k tomu, že měření bylo prováděno na chodbě na frekvenci 2GHz a stěny chodby měly pravděpodobně vhodné dialektické vlastnosti k tomu, aby se chodba chovala jako vlnovodný kanál.
Tak pro chodbu neplatí empiricky zjištěný vztah pro šíření signálu zástavbou. Ale měrný útlum chodby bude přibližně lineární funkcí vzdálenosti.
Pro extrapolaci intenzity signálu ve zvolené vzdálenosti za předpokladu neměnných podmínek byl proto zvolen lineární model.
\begin{figure}
\begin{center}
\includegraphics [width=150mm] {./data/chodba_utlum.png}
\caption{Naměřená data šíření chodbou na přímou viditelnost a fit lineárním modelem}
\end{center}
\label{utlum_chodba}
\end{figure}
Parametry modelu jsou následující:
\begin{equation}
I = k x + a
\end{equation}
kde:
\begin{description}
\item[I] - je intenzita přijímaného signálu v dBm
\item[x] - je vzdálenost od zdroje signálu
\item[a] - offset modelu při nejmenším útlumu (-28,7 dBm)
\item[k] - průměrný měrný útlum prostředí na jednotku délky (-0,179 dB/m)
\end{description}
Z nafitovaných funkcí vidíme, že ve vzdálenosti 45m, bude s pravděpodobností 0,9 intenzita signálu minimálně -38dBm.
\subsection{Zastíněný spoj}
Během šíření spoje skrz stěnu do místnosti je již patrná složitější závislost útlumu na vzdálenosti. Což je patrně způsobeno vícenásobnými odrazy od překážek. Lineární model je ale dobře použitelný i zde.
\begin{figure}
\begin{center}
\includegraphics [width=150mm] {./data/mistnost.png}
\caption{Naměřená data stěnou zastíněným šířením a fit lineárním modelem}
\end{center}
\label{utlum_chodba}
\end{figure}
Parametry modelu jsou následující:
\begin{equation}
I = k x + a
\end{equation}
kde:
\begin{description}
\item[I] - je intenzita přijímaného signálu v dBm
\item[x] - je vzdálenost od zdroje signálu
\item[a] - offset modelu při nejmenším útlumu (-37,6 dBm)
\item[k] - průměrný měrný útlum prostředí na jednotku délky (0,6 dB/m)
\end{description}
\subsection{Vliv časově proměnného prostředí}
\begin{figure}
\begin{center}
\includegraphics [width=150mm] {./data/chodba_braun.png}
\caption{Naměřená data útlumů s náhodně proměnlivým prostředím na měřené trase podél délky chodby}
\end{center}
\label{utlum_chodba}
\end{figure}
\end{document}