mcpparaextract.m

来自「MCP参数提取程序」· M 代码 · 共 3,034 行 · 第 1/3 页

0.084
0.088
0.092
0.096
0.1
0.104
0.108
0.112
0.116
0.12
0.124
0.128
0.132
0.136
0.14
0.144
0.148
0.152
0.156
0.16
0.164
0.168
0.172
0.176
0.18
0.184
0.188
0.192
0.196
0.2
0.204
0.208
0.212
0.216
0.22
0.224
0.228
0.232
0.236
0.24
0.244
0.248
0.252
0.256
0.26
0.264
0.268
0.272
0.276
0.28
0.284
0.288
0.292
0.296
0.3
0.304
0.308
0.312
0.316
0.32
0.324
0.328
0.332
0.336
0.34
0.344
0.348
0.352
0.356
0.36
0.364
0.368
0.372
0.376
0.38
0.384
0.388
0.392
0.396
0.4
0.404
0.408
0.412
0.416
0.42
0.424
0.428
0.432
0.436
0.44
0.444
0.448
0.452
0.456
0.46
0.464
0.468
0.472
0.476
0.48
0.484
0.488
0.492
0.496
0.5
0.504
0.508
0.512
0.516
0.52
0.524
0.528
0.532
0.536
0.54
0.544
0.548
0.552
0.556
0.56
0.564
0.568
0.572
0.576
0.58
0.584
0.588
0.592
0.596
0.6
0.604
0.608
0.612
0.616
0.62
0.624
0.628
0.632
0.636
0.64
0.644
0.648
0.652
0.656
0.66
0.664
0.668
0.672
0.676
0.68
0.684
0.688
0.692
0.696
0.7
0.704
0.708
0.712
0.716
0.72
0.724
0.728
0.732
0.736
0.74
0.744
0.748
0.752
0.756
0.76
0.764
0.768
0.772
0.776
0.78
0.784
0.788
0.792
0.796
0.8
0.804
0.808
0.812
0.816
0.82
0.824
0.828
0.832
0.836
0.84
0.844
0.848
0.852
0.856
0.86
0.864
0.868
0.872
0.876
0.88
0.884
0.888
0.892
0.896
0.9
0.904
0.908
0.912
0.916
0.92
0.924
0.928
0.932
0.936
0.94
0.944
0.948
0.952
0.956
0.96
0.964
0.968
0.972
0.976
0.98
0.984
0.988
0.992
0.996
1
1.004
1.008
1.012
1.016
1.02
1.024
1.028
1.032
1.036
1.04
1.044
1.048
1.052
1.056
1.06
1.064
1.068
1.072
1.076
1.08
1.084
1.088
1.092
1.096
1.1
1.104
1.108
1.112
1.116
1.12
1.124
1.128
1.132
1.136
1.14
1.144
1.148
1.152
1.156
1.16
1.164
1.168
1.172
1.176
1.18
1.184
1.188
1.192
1.196
1.2
1.204
1.208
1.212
1.216
1.22
1.224
1.228
1.232
1.236
1.24
1.244
1.248
1.252
1.256
1.26
1.264
1.268
1.272
1.276
1.28
1.284
1.288
1.292
1.296
1.3
1.304
1.308
1.312
1.316
1.32
1.324
1.328
1.332
1.336
1.34
1.344
1.348
1.352
1.356
1.36
1.364
1.368
1.372
1.376
1.38
1.384
1.388
1.392
1.396
1.4
1.404
1.408
1.412
1.416
1.42
1.424
1.428
1.432
1.436
1.44
1.444
1.448
1.452
1.456
1.46
1.464
1.468
1.472
1.476
1.48
1.484
1.488
1.492
1.496
1.5
1.504
1.508
1.512
1.516
1.52
1.524
1.528
1.532
1.536
1.54
1.544
1.548
1.552
1.556
1.56
1.564
1.568
1.572
1.576
1.58
1.584
1.588
1.592
1.596
1.6
1.604
1.608
1.612
1.616
1.62
1.624
1.628
1.632
1.636
1.64
1.644
1.648
1.652
1.656
1.66
1.664
1.668
1.672
1.676
1.68
1.684
1.688
1.692
1.696
1.7
1.704
1.708
1.712
1.716
1.72
1.724
1.728
1.732
1.736
1.74
1.744
1.748
1.752
1.756
1.76
1.764
1.768
1.772
1.776
1.78
1.784
1.788
1.792
1.796
1.8
1.804
1.808
1.812
1.816
1.82
1.824
1.828
1.832
1.836
1.84
1.844
1.848
1.852
1.856
1.86
1.864
1.868
1.872
1.876
1.88
1.884
1.888
1.892
1.896
1.9
1.904
1.908
1.912
1.916
1.92
1.924
1.928
1.932
1.936
1.94
1.944
1.948
1.952
1.956
1.96
1.964
1.968
1.972
1.976
1.98
1.984
1.988
1.992
1.996
2
2.004
2.008
2.012
2.016
2.02
2.024
2.028
2.032
2.036
2.04
2.044
2.048
2.052
2.056
2.06
2.064
2.068
2.072
2.076
2.08
2.084
2.088
2.092
2.096
2.1
2.104
2.108
2.112
2.116
2.12
2.124
2.128
2.132
2.136
2.14
2.144
2.148
2.152
2.156
2.16
2.164
2.168
2.172
2.176
2.18
2.184
2.188
2.192
2.196
2.2
2.204
2.208
2.212
2.216
2.22
2.224
2.228
2.232
2.236
2.24
2.244
2.248
2.252
2.256
2.26
2.264
2.268
2.272
2.276
2.28
2.284
2.288
2.292
2.296
2.3
2.304
2.308
2.312
2.316
2.32
2.324
2.328
2.332
2.336
2.34
2.344
2.348
2.352
2.356
2.36
2.364
2.368
2.372
2.376
2.38
2.384
2.388
2.392
2.396
2.4
2.404
2.408
2.412
2.416
2.42
2.424
2.428
2.432
2.436
2.44
2.444
2.448
2.452
2.456
2.46
2.464
2.468
2.472
2.476
2.48
2.484
2.488
2.492
2.496
2.5
2.504
2.508
2.512
2.516
2.52
2.524
2.528
2.532
2.536
2.54
2.544
2.548
2.552
2.556
2.56
2.564
2.568
2.572
2.576
2.58
2.584
2.588
2.592
2.596
2.6
2.604
2.608
2.612
2.616
2.62
2.624
2.628
2.632
2.636
2.64
2.644
2.648
2.652
2.656
2.66
2.664
2.668
2.672
2.676
2.68
2.684
2.688
2.692
2.696
2.7
2.704
2.708
2.712
2.716
2.72
2.724
2.728
2.732
2.736
2.74
2.744
2.748
2.752
2.756
2.76
2.764
2.768
2.772
2.776
2.78
2.784
2.788
2.792
2.796
2.8
2.804
2.808
2.812
2.816
2.82
2.824
2.828
2.832
2.836
2.84
2.844
2.848
2.852
2.856
2.86
2.864
2.868
2.872
2.876
2.88
2.884
2.888
2.892
2.896
2.9
2.904
2.908
2.912
2.916
2.92
2.924
2.928
2.932
2.936
2.94
2.944
2.948
2.952
2.956
2.96
2.964
2.968
2.972
2.976
2.98
2.984
2.988
2.992
2.996
3
3.004
3.008
3.012
3.016
3.02
3.024
3.028
3.032
3.036
3.04
3.044
3.048
3.052
3.056
3.06
3.064
3.068
3.072
3.076
3.08
3.084
3.088
3.092
3.096
3.1
3.104
3.108
3.112
3.116
3.12
3.124
3.128
3.132
3.136
3.14
3.144
3.148
3.152
3.156
3.16
3.164
3.168
3.172
3.176
3.18
3.184
3.188
3.192
3.196
3.2
3.204
3.208
3.212
3.216
3.22
3.224
3.228
3.232
3.236
3.24
3.244
3.248
3.252
3.256
3.26
3.264
3.268
3.272
3.276
3.28
3.284
3.288
3.292
3.296
3.3
3.304
3.308
3.312
3.316
3.32
3.324
3.328
3.332
3.336
3.34
3.344
3.348
3.352
3.356
3.36
3.364
3.368
3.372
3.376
3.38
3.384
3.388
3.392
3.396
3.4
3.404
3.408
3.412
3.416
3.42
3.424
3.428
3.432
3.436
3.44
3.444
3.448
3.452
3.456
3.46
3.464
3.468
3.472
3.476
3.48
3.484
3.488
3.492
3.496
3.5
3.504
3.508
3.512
3.516
3.52
3.524
3.528
3.532
3.536
3.54
3.544
3.548
3.552
3.556
3.56
3.564
3.568
3.572
3.576
3.58
3.584
3.588
3.592
3.596
3.6
3.604
3.608
3.612
3.616
3.62
3.624
3.628
3.632
3.636
3.64
3.644
3.648
3.652
3.656
3.66
3.664
3.668
3.672
3.676
3.68
3.684
3.688
3.692
3.696
3.7
3.704
3.708
3.712
3.716
3.72
3.724
3.728
3.732
3.736
3.74
3.744
3.748
3.752
3.756
3.76
3.764
3.768
3.772
3.776
3.78
3.784
3.788
3.792
3.796
3.8
3.804
3.808
3.812
3.816
3.82
3.824
3.828
3.832
3.836
3.84
3.844
3.848
3.852
3.856
3.86
3.864
3.868
3.872
3.876
3.88
3.884
3.888
3.892
3.896
3.9
3.904
3.908
3.912
3.916
3.92
3.924
3.928
3.932
3.936
3.94
3.944
3.948
3.952
3.956
3.96
3.964
3.968
3.972
3.976
3.98
3.984
3.988
3.992
3.996
4];

%Freq=Freq./1.5;

s=size(Rr);
r=zeros(s);
x=zeros(s);
for i=1:s(1,1),
    r(i,1)=(1-Rr(i,1)^2-Ri(i,1)^2)/(1+Rr(i,1)^2-2*Rr(i,1)+Ri(i,1)^2);
    x(i,1)=(2*Ri(i,1))/(1+Rr(i,1)^2-2*Rr(i,1)+Ri(i,1)^2);
end
%plot(Freq,r)
plot(Freq,x)
A=zeros(s(1,1),2);
for i=1:s(1,1),
    A(i,2)=2*pi*Freq(i,1);
    A(i,1)=-1/A(i,2);
end
%A
result=inv(A'*A)*(A'*x)
size(result)    % 2*1
newx=zeros(s);
for i=1:s(1,1),
    w=2*pi*Freq(i,1);
    newx(i,1)=-1/w*result(1,1)+w*result(2,1);
end
hold on;
plot(Freq,newx,'r')
axis([0,2.7,-20,10])
C=1/(result(1,1)*50)*1E-9
L=result(2,1)*50*1E-9