SlideShare a Scribd company logo
Electronusa Mechanical System [Research Center for Electronic and Mechanical]
1 | P a g e
The Impedance Matching in The Audio Signal Processing
Umar Sidik.BEng.MSc*
Director of Engineering
Electronusa Mechanical System (CTRONICS)
*umar.sidik@engineer.com
1. Introduction
Commonly, impedance is obstruction to transfer energy in the electronic circuit. Therefore, the
impedance matching is required to achieve the maximum power transfer. Furthermore, the
impedance matching equalizes the source impedance and load impedance. In other hand, the
emitter-follower (common-collector) provides the impedance matching delivered from the base
(input) to the emitter (output). The emitter-follower has high input resistance and low output
resistance. In the emitter-follower, the input resistance depends on the load resistance, while the
output resistance depends on the source resistance. In addition, this study implements the radial
electrolytic capacitor 100 25⁄ .
2. Analytical Work
In this study, and form the Thevenin voltage, while and deliver ac signal as and
(figure 1).
(a) (b)
Figure 1. (a). The concept of circuit analyzed in the study
(b). The equivalent circuit
2.1 Analysis of dc
First step, we have to calculate the Thevenin’s voltage in figure 1:
=
+
×
For this circuit, is 5 , then:
=
24 Ω
10 Ω + 24 Ω
× 5
24 Ω
34 Ω
× 5
= (0.71) × 5
= 3.55
Electronusa Mechanical System [Research Center for Electronic and Mechanical]
2 | P a g e
Actually, in this circuit = , so = 3.55 .
The second step, we have to calculate :
= −
= 3.55 − 0.7
= 2.85
The third step, we have to calculate :
=
=
2.85
150Ω
= 19
2.2 Analysis of ac
In the analysis of ac, we involve the capacitor to pass the ac signal and we also involve the internal
resistance of emitter known as (figure 2).
(a) (b)
Figure 2. (a). The ac circuit
(b). The equivalent circuit for ac analysis
The first step, we have to calculate in the figure 2:
=
25
=
25
19
= 1.32Ω
The second step, we have to calculate ( ):
( ) = ( + 1) ( + )‖
( ) = (200 + 1) (150Ω + 8.2Ω)‖1.32Ω
Electronusa Mechanical System [Research Center for Electronic and Mechanical]
3 | P a g e
( ) = (201) (158.2Ω)‖1.32Ω
( ) = (201)
1
158.2Ω
+
1
1.32Ω
( ) = (201)
1.32
208.824Ω
+
158.2
208.824Ω
( ) = (201)
159.52
208.824Ω
( ) = (201)(0.764Ω)
( ) = 153.564Ω
The third step is to calculate :
=
( )
=
1
153.564Ω
= 0.0065
= 6.5
The fourth step is to calculate :
=
= (200)(0.0065 )
= 1.3
The last step is to calculate :
=
= (1.3 )(0.764Ω)
= 0.9932
= 993.2
3. Simulation Work
The simulation work can be classified into the dc analysis and the ac analysis.
3.1 Analysis of dc
In the simulation, is 3 (figure 3), while in the analytical work is 3.55 .
The different of the analytical work and the simulation work is:
(%) =
( ) − ( )
( )
× 100%
(%) =
3.55 − 3
3.55
× 100%
Electronusa Mechanical System [Research Center for Electronic and Mechanical]
4 | P a g e
(%) =
0.55
3.55
× 100%
(%) = 18.33%
Figure 3. in the simulation
In the simulation, is 2.25 (figure 4), while in the analytical work is 2.85 . The different of the
analytical work and the simulation work is:
(%) =
( ) − ( )
( )
× 100%
(%) =
2.85 − 2.25
2.85
× 100%
(%) =
0.6
2.85
× 100%
(%) = 21.05%
Figure 4. in the simulation
In the simulation, is 15 (figure 5), while in the analytical work is 19 . The difference is:
(%) =
( ) − ( )
( )
× 100%
(%) =
19 − 15
19
× 100%
(%) =
4
19
× 100%
(%) = 21.05%
Electronusa Mechanical System [Research Center for Electronic and Mechanical]
5 | P a g e
Figure 5. in the simulation
3.2 Analysis of ac
In the analytical is 6.5 (0.0065 ), while in the simulation is 0.07 (figure 6). The
difference is:
(%) =
( ) − ( )
( )
× 100%
(%) =
0.07 − 0.0065
0.07
× 100%
(%) =
0.0635
0.07
× 100%
(%) = 90.71%
(a) (b) (c)
(d) (e)
Figure 6. (a). in the simulation at 1Hz
(b). in the simulation at 10Hz
(c). in the simulation at 100Hz
(d). in the simulation at 1kHz
(e). in the simulation at 10kHz
Electronusa Mechanical System [Research Center for Electronic and Mechanical]
6 | P a g e
In the simulation, is 14.9 (figure 7), while in the analytical is 1.3 . The difference is:
(%) =
( ) − ( )
( )
× 100%
(%) =
14.9 − 1.3
14.9
× 100%
(%) =
13.6
14.9
× 100%
(%) = 91.275%
(a) (b) (c)
(d) (e)
Figure 7. (a). in the simulation at 1Hz
(b). in the simulation at 10Hz
(c). in the simulation at 100Hz
(d). in the simulation at 1kHz
(e). in the simulation at 10kHz
In the simulation, is 0 at 1Hz, is 0 at 10Hz, is 0.05 at 100Hz, is 0.94 at 1kHz, 9.61 at
10kHz, and 15.2 at 16kHz (figure 8). The difference is:
For 1Hz,
(%) =
( ) − ( )
( )
× 100%
(%) =
1.3 − 0.53
1.3
× 100%
(%) =
1.30000 − 0.00053
1.3
× 100%
(%) =
1.29947
1.3
× 100%
(%) = 99.959%
Electronusa Mechanical System [Research Center for Electronic and Mechanical]
7 | P a g e
For 10Hz,
(%) =
( ) − ( )
( )
× 100%
(%) =
1.3 − 4.37
1.3
× 100%
(%) =
1.3000 − 0.00437
1.3000
× 100%
(%) =
1.29563
1.3000
× 100%
(%) = 99.66%
For 100Hz,
(%) =
( ) − ( )
( )
× 100%
(%) =
1.3 − 38.9
1.3
× 100%
(%) =
1.3000 − 0.0389
1.3000
× 100%
(%) =
1.2611
1.3000
× 100%
(%) = 97%
For 1kHz,
(%) =
( ) − ( )
( )
× 100%
(%) =
1.3 − 83.3
1.3
× 100%
(%) =
1.3000 − 0.0833
1.3000
× 100%
(%) =
1.2167
1.3000
× 100%
(%) = 93.59%
For 10kHz,
(%) =
( ) − ( )
( )
× 100%
(%) =
1.3 − 84.8
1.3
× 100%
(%) =
1.3000 − 0.0848
1.3000
× 100%
(%) =
1.2152
1.3000
× 100%
Electronusa Mechanical System [Research Center for Electronic and Mechanical]
8 | P a g e
(%) = 93.47%
For 16kHz,
(%) =
( ) − ( )
( )
× 100%
(%) =
1.3 − 84.8
1.3
× 100%
(%) =
1.3000 − 0.0848
1.3000
× 100%
(%) =
1.2152
1.3000
× 100%
(%) = 93.47%
(a) (b) (c)
(d) (e) (f)
Figure 8. (a). in the simulation at 1Hz
(b). in the simulation at 10Hz
(c). in the simulation at 100Hz
(d). in the simulation at 1kHz
(e). in the simulation at 10kHz
(f). in the simulation at 16kHz
In the simulation, is 0 at 1Hz, is 0 at 10Hz, is 0.32 at 100Hz, is 5.36 at 1kHz, is 53.8
at 10kHz, and 85.3 at 16kHz (figure 9). The difference is:
For 1Hz,
(%) =
( ) − ( )
( )
× 100%
(%) =
993.2 − 2.97
993.2
× 100%
(%) =
990.23
993.2
× 100%
(%) = 99.7%
Electronusa Mechanical System [Research Center for Electronic and Mechanical]
9 | P a g e
For 10Hz,
(%) =
( ) − ( )
( )
× 100%
(%) =
993.2 − 24.6
993.2
× 100%
(%) =
968.6
993.2
× 100%
(%) = 97.52%
For 100Hz,
(%) =
( ) − ( )
( )
× 100%
(%) =
993.2 − 218
993.2
× 100%
(%) =
775.2
993.2
× 100%
(%) = 78.05%
For 1kHz,
(%) =
( ) − ( )
( )
× 100%
(%) =
993.2 − 466
993.2
× 100%
(%) =
527.2
993.2
× 100%
(%) = 53.08%
For 10kHz,
(%) =
( ) − ( )
( )
× 100%
(%) =
993.2 − 475
993.2
× 100%
(%) =
518.2
993.2
× 100%
(%) = 52.17%
For 16kHz,
(%) =
( ) − ( )
( )
× 100%
(%) =
993.2 − 475
993.2
× 100%
(%) =
518.2
993.2
× 100%
Electronusa Mechanical System [Research Center for Electronic and Mechanical]
10 | P a g e
(%) = 52.17%
In this study, the simulation shows that the and became stable started at 1 kHz.
(a) (b) (c)
(d) (e) (f)
Figure 9. (a). in the simulation at 1Hz
(b). in the simulation at 10Hz
(c). in the simulation at 100Hz
(d). in the simulation at 1kHz
(e). in the simulation at 10kHz
(f). in the simulation at 16kHz

More Related Content

What's hot

Capitulo 12
Capitulo 12Capitulo 12
Capitulo 12
vimacive
 
Mnistauto 3
Mnistauto 3Mnistauto 3
Mnistauto 3
Ali Rıza SARAL
 
Perhitunngan
PerhitunnganPerhitunngan
Perhitunngan
Nadya Herida
 
Engineering circuit-analysis-solutions-7ed-hayt [upload by r1-lher
Engineering circuit-analysis-solutions-7ed-hayt [upload by r1-lherEngineering circuit-analysis-solutions-7ed-hayt [upload by r1-lher
Engineering circuit-analysis-solutions-7ed-hayt [upload by r1-lhercristhian cabrera
 
Dip 3
Dip 3Dip 3
Cap 12
Cap 12Cap 12
INTERPOLATION
INTERPOLATIONINTERPOLATION
INTERPOLATION
tirath prajapati
 
08 interpolation lagrange
08 interpolation   lagrange08 interpolation   lagrange
08 interpolation lagrangeMohammad Tawfik
 
Chapter 13 solutions_to_exercises (engineering circuit analysis 7th)
Chapter 13 solutions_to_exercises (engineering circuit analysis 7th)Chapter 13 solutions_to_exercises (engineering circuit analysis 7th)
Chapter 13 solutions_to_exercises (engineering circuit analysis 7th)Maamoun Hennache
 
Multi dof modal analysis free
Multi dof modal analysis freeMulti dof modal analysis free
Multi dof modal analysis free
MahdiKarimi29
 
Neural Network Back Propagation Algorithm
Neural Network Back Propagation AlgorithmNeural Network Back Propagation Algorithm
Neural Network Back Propagation Algorithm
Martin Opdam
 
cheb_conf_aksenov.pdf
cheb_conf_aksenov.pdfcheb_conf_aksenov.pdf
cheb_conf_aksenov.pdf
Alexey Vasyukov
 
MATHEMATICAL MODELING OF COMPLEX REDUNDANT SYSTEM UNDER HEAD-OF-LINE REPAIR
MATHEMATICAL MODELING OF COMPLEX REDUNDANT SYSTEM UNDER HEAD-OF-LINE REPAIRMATHEMATICAL MODELING OF COMPLEX REDUNDANT SYSTEM UNDER HEAD-OF-LINE REPAIR
MATHEMATICAL MODELING OF COMPLEX REDUNDANT SYSTEM UNDER HEAD-OF-LINE REPAIR
Editor IJMTER
 
Capítulo 02 considerações estatísticas
Capítulo 02   considerações estatísticasCapítulo 02   considerações estatísticas
Capítulo 02 considerações estatísticas
Jhayson Carvalho
 
Soluções dos exercícios de cinética química digitados
Soluções dos exercícios de cinética química digitadosSoluções dos exercícios de cinética química digitados
Soluções dos exercícios de cinética química digitados
Márcio Martins
 

What's hot (17)

Capitulo 12
Capitulo 12Capitulo 12
Capitulo 12
 
Mnistauto 3
Mnistauto 3Mnistauto 3
Mnistauto 3
 
Perhitunngan
PerhitunnganPerhitunngan
Perhitunngan
 
Engineering circuit-analysis-solutions-7ed-hayt [upload by r1-lher
Engineering circuit-analysis-solutions-7ed-hayt [upload by r1-lherEngineering circuit-analysis-solutions-7ed-hayt [upload by r1-lher
Engineering circuit-analysis-solutions-7ed-hayt [upload by r1-lher
 
Dip 3
Dip 3Dip 3
Dip 3
 
Cap 12
Cap 12Cap 12
Cap 12
 
INTERPOLATION
INTERPOLATIONINTERPOLATION
INTERPOLATION
 
08 interpolation lagrange
08 interpolation   lagrange08 interpolation   lagrange
08 interpolation lagrange
 
Chapter 13 solutions_to_exercises (engineering circuit analysis 7th)
Chapter 13 solutions_to_exercises (engineering circuit analysis 7th)Chapter 13 solutions_to_exercises (engineering circuit analysis 7th)
Chapter 13 solutions_to_exercises (engineering circuit analysis 7th)
 
Multi dof modal analysis free
Multi dof modal analysis freeMulti dof modal analysis free
Multi dof modal analysis free
 
Adaptive signal processing simon haykins
Adaptive signal processing simon haykinsAdaptive signal processing simon haykins
Adaptive signal processing simon haykins
 
Neural Network Back Propagation Algorithm
Neural Network Back Propagation AlgorithmNeural Network Back Propagation Algorithm
Neural Network Back Propagation Algorithm
 
cheb_conf_aksenov.pdf
cheb_conf_aksenov.pdfcheb_conf_aksenov.pdf
cheb_conf_aksenov.pdf
 
assignment_2
assignment_2assignment_2
assignment_2
 
MATHEMATICAL MODELING OF COMPLEX REDUNDANT SYSTEM UNDER HEAD-OF-LINE REPAIR
MATHEMATICAL MODELING OF COMPLEX REDUNDANT SYSTEM UNDER HEAD-OF-LINE REPAIRMATHEMATICAL MODELING OF COMPLEX REDUNDANT SYSTEM UNDER HEAD-OF-LINE REPAIR
MATHEMATICAL MODELING OF COMPLEX REDUNDANT SYSTEM UNDER HEAD-OF-LINE REPAIR
 
Capítulo 02 considerações estatísticas
Capítulo 02   considerações estatísticasCapítulo 02   considerações estatísticas
Capítulo 02 considerações estatísticas
 
Soluções dos exercícios de cinética química digitados
Soluções dos exercícios de cinética química digitadosSoluções dos exercícios de cinética química digitados
Soluções dos exercícios de cinética química digitados
 

Viewers also liked

14. the impedance matching in the audio signal processing (part ix)
14. the impedance matching in the audio signal processing (part ix)14. the impedance matching in the audio signal processing (part ix)
14. the impedance matching in the audio signal processing (part ix)Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
Electronusa Mechanical System
 
12. the impedance matching in the audio signal processing (part vii)
12. the impedance matching in the audio signal processing (part vii)12. the impedance matching in the audio signal processing (part vii)
12. the impedance matching in the audio signal processing (part vii)Electronusa Mechanical System
 
10. the impedance matching in the audio signal processing (part v)
10. the impedance matching in the audio signal processing (part v)10. the impedance matching in the audio signal processing (part v)
10. the impedance matching in the audio signal processing (part v)Electronusa Mechanical System
 
Scription
ScriptionScription
Fluid Contaminant Control as Essential Technique to Implement Proactive Maint...
Fluid Contaminant Control as Essential Technique to Implement Proactive Maint...Fluid Contaminant Control as Essential Technique to Implement Proactive Maint...
Fluid Contaminant Control as Essential Technique to Implement Proactive Maint...
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
Electronusa Mechanical System
 
11. the impedance matching in the audio signal processing (part vi)
11. the impedance matching in the audio signal processing (part vi)11. the impedance matching in the audio signal processing (part vi)
11. the impedance matching in the audio signal processing (part vi)Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
Electronusa Mechanical System
 
Cavitation
CavitationCavitation
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
Electronusa Mechanical System
 
The Impedance Matching in The Audio Signal Processing (Part III)
The Impedance Matching in The Audio Signal Processing (Part III)The Impedance Matching in The Audio Signal Processing (Part III)
The Impedance Matching in The Audio Signal Processing (Part III)
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
Electronusa Mechanical System
 
Personal branding, la maîtrise parfaite de linkedin
Personal branding, la maîtrise parfaite de linkedinPersonal branding, la maîtrise parfaite de linkedin
Personal branding, la maîtrise parfaite de linkedin
Extend Coaching
 
Martine Rainville – Le droit d’auteur appliqué aux blogues 
Martine Rainville – Le droit d’auteur appliqué aux blogues Martine Rainville – Le droit d’auteur appliqué aux blogues 
Martine Rainville – Le droit d’auteur appliqué aux blogues 
Made in
 

Viewers also liked (16)

14. the impedance matching in the audio signal processing (part ix)
14. the impedance matching in the audio signal processing (part ix)14. the impedance matching in the audio signal processing (part ix)
14. the impedance matching in the audio signal processing (part ix)
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
 
12. the impedance matching in the audio signal processing (part vii)
12. the impedance matching in the audio signal processing (part vii)12. the impedance matching in the audio signal processing (part vii)
12. the impedance matching in the audio signal processing (part vii)
 
10. the impedance matching in the audio signal processing (part v)
10. the impedance matching in the audio signal processing (part v)10. the impedance matching in the audio signal processing (part v)
10. the impedance matching in the audio signal processing (part v)
 
Scription
ScriptionScription
Scription
 
Fluid Contaminant Control as Essential Technique to Implement Proactive Maint...
Fluid Contaminant Control as Essential Technique to Implement Proactive Maint...Fluid Contaminant Control as Essential Technique to Implement Proactive Maint...
Fluid Contaminant Control as Essential Technique to Implement Proactive Maint...
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
 
11. the impedance matching in the audio signal processing (part vi)
11. the impedance matching in the audio signal processing (part vi)11. the impedance matching in the audio signal processing (part vi)
11. the impedance matching in the audio signal processing (part vi)
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
 
Cavitation
CavitationCavitation
Cavitation
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
 
The Impedance Matching in The Audio Signal Processing (Part III)
The Impedance Matching in The Audio Signal Processing (Part III)The Impedance Matching in The Audio Signal Processing (Part III)
The Impedance Matching in The Audio Signal Processing (Part III)
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
 
Personal branding, la maîtrise parfaite de linkedin
Personal branding, la maîtrise parfaite de linkedinPersonal branding, la maîtrise parfaite de linkedin
Personal branding, la maîtrise parfaite de linkedin
 
Martine Rainville – Le droit d’auteur appliqué aux blogues 
Martine Rainville – Le droit d’auteur appliqué aux blogues Martine Rainville – Le droit d’auteur appliqué aux blogues 
Martine Rainville – Le droit d’auteur appliqué aux blogues 
 

Similar to Electronusa Mechanical System

Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
Electronusa Mechanical System
 
ENGINEERING SYSTEM DYNAMICS-TAKE HOME ASSIGNMENT 2018
ENGINEERING SYSTEM DYNAMICS-TAKE HOME ASSIGNMENT 2018ENGINEERING SYSTEM DYNAMICS-TAKE HOME ASSIGNMENT 2018
ENGINEERING SYSTEM DYNAMICS-TAKE HOME ASSIGNMENT 2018
musadoto
 
Fault modeling and parametric fault detection in analog VLSI circuits using d...
Fault modeling and parametric fault detection in analog VLSI circuits using d...Fault modeling and parametric fault detection in analog VLSI circuits using d...
Fault modeling and parametric fault detection in analog VLSI circuits using d...
IJECEIAES
 
EENG519FinalProjectReport
EENG519FinalProjectReportEENG519FinalProjectReport
EENG519FinalProjectReportDaniel K
 
Computation of Electromagnetic Fields Scattered from Dielectric Objects of Un...
Computation of Electromagnetic Fields Scattered from Dielectric Objects of Un...Computation of Electromagnetic Fields Scattered from Dielectric Objects of Un...
Computation of Electromagnetic Fields Scattered from Dielectric Objects of Un...
Alexander Litvinenko
 
Gate ee 2005 with solutions
Gate ee 2005 with solutionsGate ee 2005 with solutions
Gate ee 2005 with solutions
khemraj298
 
17.pmsm speed sensor less direct torque control based on ekf
17.pmsm speed sensor less direct torque control based on ekf17.pmsm speed sensor less direct torque control based on ekf
17.pmsm speed sensor less direct torque control based on ekfMouli Reddy
 
UGC NET Model questions Engineering science
UGC NET Model questions Engineering scienceUGC NET Model questions Engineering science
UGC NET Model questions Engineering scienceJithesh V Nair
 
lecture 5 courseII (6).pptx
lecture 5 courseII (6).pptxlecture 5 courseII (6).pptx
lecture 5 courseII (6).pptx
AYMENGOODKid
 

Similar to Electronusa Mechanical System (20)

Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
 
Electronusa Mechanical System
Electronusa Mechanical SystemElectronusa Mechanical System
Electronusa Mechanical System
 
ENGINEERING SYSTEM DYNAMICS-TAKE HOME ASSIGNMENT 2018
ENGINEERING SYSTEM DYNAMICS-TAKE HOME ASSIGNMENT 2018ENGINEERING SYSTEM DYNAMICS-TAKE HOME ASSIGNMENT 2018
ENGINEERING SYSTEM DYNAMICS-TAKE HOME ASSIGNMENT 2018
 
Fault modeling and parametric fault detection in analog VLSI circuits using d...
Fault modeling and parametric fault detection in analog VLSI circuits using d...Fault modeling and parametric fault detection in analog VLSI circuits using d...
Fault modeling and parametric fault detection in analog VLSI circuits using d...
 
EENG519FinalProjectReport
EENG519FinalProjectReportEENG519FinalProjectReport
EENG519FinalProjectReport
 
Computation of Electromagnetic Fields Scattered from Dielectric Objects of Un...
Computation of Electromagnetic Fields Scattered from Dielectric Objects of Un...Computation of Electromagnetic Fields Scattered from Dielectric Objects of Un...
Computation of Electromagnetic Fields Scattered from Dielectric Objects of Un...
 
Gate ee 2005 with solutions
Gate ee 2005 with solutionsGate ee 2005 with solutions
Gate ee 2005 with solutions
 
17.pmsm speed sensor less direct torque control based on ekf
17.pmsm speed sensor less direct torque control based on ekf17.pmsm speed sensor less direct torque control based on ekf
17.pmsm speed sensor less direct torque control based on ekf
 
UGC NET Model questions Engineering science
UGC NET Model questions Engineering scienceUGC NET Model questions Engineering science
UGC NET Model questions Engineering science
 
lecture 5 courseII (6).pptx
lecture 5 courseII (6).pptxlecture 5 courseII (6).pptx
lecture 5 courseII (6).pptx
 
Final Project
Final ProjectFinal Project
Final Project
 

Recently uploaded

Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
SOFTTECHHUB
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
BookNet Canada
 
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
UiPathCommunity
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 
Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
OnBoard
 
Assure Contact Center Experiences for Your Customers With ThousandEyes
Assure Contact Center Experiences for Your Customers With ThousandEyesAssure Contact Center Experiences for Your Customers With ThousandEyes
Assure Contact Center Experiences for Your Customers With ThousandEyes
ThousandEyes
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
DianaGray10
 
By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024
Pierluigi Pugliese
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
91mobiles
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
RinaMondal9
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
UiPathCommunity
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
Dorra BARTAGUIZ
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 

Recently uploaded (20)

Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
 
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
 
Assure Contact Center Experiences for Your Customers With ThousandEyes
Assure Contact Center Experiences for Your Customers With ThousandEyesAssure Contact Center Experiences for Your Customers With ThousandEyes
Assure Contact Center Experiences for Your Customers With ThousandEyes
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
 
By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 

Electronusa Mechanical System

  • 1. Electronusa Mechanical System [Research Center for Electronic and Mechanical] 1 | P a g e The Impedance Matching in The Audio Signal Processing Umar Sidik.BEng.MSc* Director of Engineering Electronusa Mechanical System (CTRONICS) *umar.sidik@engineer.com 1. Introduction Commonly, impedance is obstruction to transfer energy in the electronic circuit. Therefore, the impedance matching is required to achieve the maximum power transfer. Furthermore, the impedance matching equalizes the source impedance and load impedance. In other hand, the emitter-follower (common-collector) provides the impedance matching delivered from the base (input) to the emitter (output). The emitter-follower has high input resistance and low output resistance. In the emitter-follower, the input resistance depends on the load resistance, while the output resistance depends on the source resistance. In addition, this study implements the radial electrolytic capacitor 100 25⁄ . 2. Analytical Work In this study, and form the Thevenin voltage, while and deliver ac signal as and (figure 1). (a) (b) Figure 1. (a). The concept of circuit analyzed in the study (b). The equivalent circuit 2.1 Analysis of dc First step, we have to calculate the Thevenin’s voltage in figure 1: = + × For this circuit, is 5 , then: = 24 Ω 10 Ω + 24 Ω × 5 24 Ω 34 Ω × 5 = (0.71) × 5 = 3.55
  • 2. Electronusa Mechanical System [Research Center for Electronic and Mechanical] 2 | P a g e Actually, in this circuit = , so = 3.55 . The second step, we have to calculate : = − = 3.55 − 0.7 = 2.85 The third step, we have to calculate : = = 2.85 150Ω = 19 2.2 Analysis of ac In the analysis of ac, we involve the capacitor to pass the ac signal and we also involve the internal resistance of emitter known as (figure 2). (a) (b) Figure 2. (a). The ac circuit (b). The equivalent circuit for ac analysis The first step, we have to calculate in the figure 2: = 25 = 25 19 = 1.32Ω The second step, we have to calculate ( ): ( ) = ( + 1) ( + )‖ ( ) = (200 + 1) (150Ω + 8.2Ω)‖1.32Ω
  • 3. Electronusa Mechanical System [Research Center for Electronic and Mechanical] 3 | P a g e ( ) = (201) (158.2Ω)‖1.32Ω ( ) = (201) 1 158.2Ω + 1 1.32Ω ( ) = (201) 1.32 208.824Ω + 158.2 208.824Ω ( ) = (201) 159.52 208.824Ω ( ) = (201)(0.764Ω) ( ) = 153.564Ω The third step is to calculate : = ( ) = 1 153.564Ω = 0.0065 = 6.5 The fourth step is to calculate : = = (200)(0.0065 ) = 1.3 The last step is to calculate : = = (1.3 )(0.764Ω) = 0.9932 = 993.2 3. Simulation Work The simulation work can be classified into the dc analysis and the ac analysis. 3.1 Analysis of dc In the simulation, is 3 (figure 3), while in the analytical work is 3.55 . The different of the analytical work and the simulation work is: (%) = ( ) − ( ) ( ) × 100% (%) = 3.55 − 3 3.55 × 100%
  • 4. Electronusa Mechanical System [Research Center for Electronic and Mechanical] 4 | P a g e (%) = 0.55 3.55 × 100% (%) = 18.33% Figure 3. in the simulation In the simulation, is 2.25 (figure 4), while in the analytical work is 2.85 . The different of the analytical work and the simulation work is: (%) = ( ) − ( ) ( ) × 100% (%) = 2.85 − 2.25 2.85 × 100% (%) = 0.6 2.85 × 100% (%) = 21.05% Figure 4. in the simulation In the simulation, is 15 (figure 5), while in the analytical work is 19 . The difference is: (%) = ( ) − ( ) ( ) × 100% (%) = 19 − 15 19 × 100% (%) = 4 19 × 100% (%) = 21.05%
  • 5. Electronusa Mechanical System [Research Center for Electronic and Mechanical] 5 | P a g e Figure 5. in the simulation 3.2 Analysis of ac In the analytical is 6.5 (0.0065 ), while in the simulation is 0.07 (figure 6). The difference is: (%) = ( ) − ( ) ( ) × 100% (%) = 0.07 − 0.0065 0.07 × 100% (%) = 0.0635 0.07 × 100% (%) = 90.71% (a) (b) (c) (d) (e) Figure 6. (a). in the simulation at 1Hz (b). in the simulation at 10Hz (c). in the simulation at 100Hz (d). in the simulation at 1kHz (e). in the simulation at 10kHz
  • 6. Electronusa Mechanical System [Research Center for Electronic and Mechanical] 6 | P a g e In the simulation, is 14.9 (figure 7), while in the analytical is 1.3 . The difference is: (%) = ( ) − ( ) ( ) × 100% (%) = 14.9 − 1.3 14.9 × 100% (%) = 13.6 14.9 × 100% (%) = 91.275% (a) (b) (c) (d) (e) Figure 7. (a). in the simulation at 1Hz (b). in the simulation at 10Hz (c). in the simulation at 100Hz (d). in the simulation at 1kHz (e). in the simulation at 10kHz In the simulation, is 0 at 1Hz, is 0 at 10Hz, is 0.05 at 100Hz, is 0.94 at 1kHz, 9.61 at 10kHz, and 15.2 at 16kHz (figure 8). The difference is: For 1Hz, (%) = ( ) − ( ) ( ) × 100% (%) = 1.3 − 0.53 1.3 × 100% (%) = 1.30000 − 0.00053 1.3 × 100% (%) = 1.29947 1.3 × 100% (%) = 99.959%
  • 7. Electronusa Mechanical System [Research Center for Electronic and Mechanical] 7 | P a g e For 10Hz, (%) = ( ) − ( ) ( ) × 100% (%) = 1.3 − 4.37 1.3 × 100% (%) = 1.3000 − 0.00437 1.3000 × 100% (%) = 1.29563 1.3000 × 100% (%) = 99.66% For 100Hz, (%) = ( ) − ( ) ( ) × 100% (%) = 1.3 − 38.9 1.3 × 100% (%) = 1.3000 − 0.0389 1.3000 × 100% (%) = 1.2611 1.3000 × 100% (%) = 97% For 1kHz, (%) = ( ) − ( ) ( ) × 100% (%) = 1.3 − 83.3 1.3 × 100% (%) = 1.3000 − 0.0833 1.3000 × 100% (%) = 1.2167 1.3000 × 100% (%) = 93.59% For 10kHz, (%) = ( ) − ( ) ( ) × 100% (%) = 1.3 − 84.8 1.3 × 100% (%) = 1.3000 − 0.0848 1.3000 × 100% (%) = 1.2152 1.3000 × 100%
  • 8. Electronusa Mechanical System [Research Center for Electronic and Mechanical] 8 | P a g e (%) = 93.47% For 16kHz, (%) = ( ) − ( ) ( ) × 100% (%) = 1.3 − 84.8 1.3 × 100% (%) = 1.3000 − 0.0848 1.3000 × 100% (%) = 1.2152 1.3000 × 100% (%) = 93.47% (a) (b) (c) (d) (e) (f) Figure 8. (a). in the simulation at 1Hz (b). in the simulation at 10Hz (c). in the simulation at 100Hz (d). in the simulation at 1kHz (e). in the simulation at 10kHz (f). in the simulation at 16kHz In the simulation, is 0 at 1Hz, is 0 at 10Hz, is 0.32 at 100Hz, is 5.36 at 1kHz, is 53.8 at 10kHz, and 85.3 at 16kHz (figure 9). The difference is: For 1Hz, (%) = ( ) − ( ) ( ) × 100% (%) = 993.2 − 2.97 993.2 × 100% (%) = 990.23 993.2 × 100% (%) = 99.7%
  • 9. Electronusa Mechanical System [Research Center for Electronic and Mechanical] 9 | P a g e For 10Hz, (%) = ( ) − ( ) ( ) × 100% (%) = 993.2 − 24.6 993.2 × 100% (%) = 968.6 993.2 × 100% (%) = 97.52% For 100Hz, (%) = ( ) − ( ) ( ) × 100% (%) = 993.2 − 218 993.2 × 100% (%) = 775.2 993.2 × 100% (%) = 78.05% For 1kHz, (%) = ( ) − ( ) ( ) × 100% (%) = 993.2 − 466 993.2 × 100% (%) = 527.2 993.2 × 100% (%) = 53.08% For 10kHz, (%) = ( ) − ( ) ( ) × 100% (%) = 993.2 − 475 993.2 × 100% (%) = 518.2 993.2 × 100% (%) = 52.17% For 16kHz, (%) = ( ) − ( ) ( ) × 100% (%) = 993.2 − 475 993.2 × 100% (%) = 518.2 993.2 × 100%
  • 10. Electronusa Mechanical System [Research Center for Electronic and Mechanical] 10 | P a g e (%) = 52.17% In this study, the simulation shows that the and became stable started at 1 kHz. (a) (b) (c) (d) (e) (f) Figure 9. (a). in the simulation at 1Hz (b). in the simulation at 10Hz (c). in the simulation at 100Hz (d). in the simulation at 1kHz (e). in the simulation at 10kHz (f). in the simulation at 16kHz