SlideShare a Scribd company logo
1 of 37
Dr.K.G.SHANTHI
Professor/ECE
shanthiece@rmkcet.ac.in
RMK College of Engineering and Technology
(Time Reversal, Time Shifting , Time Scaling, Amplitude scaling,
Signal addition, Signal Multiplication)
2
3
• Functional representation
x(t) = 2 ; -1< t <1
0 ; otherwise
-1 0 +1
x(t)
2
t
• Graphical representation
4
• Functional representation
x(n) = 2 ; n=-1
1 ; n=0
-1; n=1
n
x(n)
2
1
-1
-1 0 +1
n -1 0 1
x(n) 2 1 -1
x(n) = { 2,1,-1}
n=0
Note: If there is no arrow in sequence representation,
then first signal value indicates n=0 value
• Graphical representation
• Sequence representation
• Tabular representation
1. x(n) = 2n ; n ≥ 0
0 ; n < 0
2.x(n) = { 1,-2,3,2,-1,0,3}
Write the tabular representation of x(n)
5
Draw the graphical representation of x(n)
6
Operation on Independent variable
Time Inversion or Time Folding or Time Reversal
Time Shifting
Time Scaling
Operation on Dependent variable
Amplitude scaling
Signal addition
Signal Multiplication
7
Signals
 In Time reversal, signal x(t) is reversed with respect to time
i.e. y(t) = x(-t) is obtained for the given function
 Time Folding: By folding the signal x(t) about t=0 (Rotating signal
by 1800 clockwise direction will give mirror image of signal
8
i.e x(-t)
9
10
11
 The original signal x(t ) is shifted by an amount tₒ.
 Signal Delayed
 Signal Advanced
12
X(t) X(t- t0) Shift right
X(t) X(t + t0) Shift left
13
Draw y(t) = x(t-2) and y(t) = x(t+2)
Signal delay
(Shift right)
Signal advance
(Shift left)
Signal delay Signal advance
Consider a signal x(t)
14
Consider a signal x(n)
Plot y(n) = x(n-3) and y(n) = x(n+2)
Signal delay
Signal advance
y(n) = x(n-3)
y(n) = x(n+2)
15
16
17
 Consider a signal x(t)
 Plot x(2t) and x(t/2)
18
a= 2 >1, Time compressed a= 1/2 <1, Time expanded
(i) x(2t)
 t= -0.5, x(2x-0.5) = x(-1) = 0
 t=0, x(2x0) = x(0) = 4
 t=0.5, x(2x0.5) = x(1) = 4
 t=1, x(2x1) = x(2) = 4
 t=1.5, x(2x1.5) = x(3) = 0
19
t= -1, x(2x-1) = x(-2) = 0
t=2, x(2x2) = x(4) = 0
-ve
+ve
(i) x(t/2)
 t=-2, x(-2/2) = x(-1) = 0
 t=-1, x (-1/2) = x(-0.5) = 3
 t=0, x(0/2) = x(0) = 4
 t= 1, x(1/2) = x(0.5) = 4
 t=3, x (3/2) = x(1.5) = 4
 t=4, x(4/2) = x(2) = 4
 t=6, x (6/2) = x(3) = 0
20
 Example: Given x(t) and we are to find y(t) = x(2t).
21
 Consider a signal
 Plot y(n)=x(2n) and x(n/2)
22
x(-4) = 0
x(-3) = 4
x(-2) = 3
x(-1) = 2
x(0) = 1
x(1) = 2
x(2) = 3
x(3) = 4
x(4) = 0
x(n) = {0,4,3,2,1,2,3,4,0}
(i) y(n) = x(2n) ;
 y(0) = x(2x0) = x(0) = 1
 y(1) = x(2x1) = x(2) = 3
 y(2) = x(2x2) = x(4) = 0
 y(-1) = x(2x-1) = x(-2) = 3
 y(-2) = x(2x-2) = x(-4) = 0
23
y(n) = x(2n)
a=2 >1 (time compress)
x(n) = {0,4,3,2,1,2,3,4,0}
(i) y(n) = x(n/2) ;
 y(-2) = x(-2/2) = x(-1) = 2
 y(-4) = x(-4/2) = x(-2) = 3
 y(-6) = x(-6/2) = x(-3) = 4
 y(-8) = x(-8/2) = x(-4) = 0
 y(0) = x(0/2) = x(0) = 1
 y(2) = x(2/2) = x(1) = 2
 y(4) = x(4/2) = x(2) = 3
 y(6) = x(6/2) = x(3) = 4
 y(8) = x(8/2) = x(4) = 0
24
y(n) = x(n/2)
a=1/2 < 1 (Time expands)
x(n) = {0,4,3,2,1,2,3,4,0}
 Multiplying the signal x(t) with A results in output y(t)=A x(t),
 where A= Amplitude
• For A ˃ 1, the signal is amplified (Amplitude increases)
• For A < 1, the signal is attenuated (Amplitude decreases)
 There is no change in time
25
26
y(n) = 2x(n)
Consider the signal x(n).Plot y(n)=2x(n)
Consider the signal x(t).Plot y(t)=2x(t)
 The addition of two continuous time signals is
obtained by adding the value (amplitude) of two
signals at same instant of time.
27
x1(t) x2(t) x1(t)+x2(t)
 Find u(t) – u(t-10)
28
Consider x1(n) = {1,2,3,1,5} and x2(n) = {2,3,4,1,-2}.
Find y(n) = x1(n) + x2(n)
Solution :
 y(n) = { 1+2, 2+3, 3+4, 1+1, 5-2}
 y(n) = { 3,5,7,2,3}
29
0 1 2 3 4
x1(n)
1
2
3
5
n
1
0 1 2 3 4
x2(n)
2
3
4
n
1
-2
0 1 2 3 4
y(n)
3
2
3
5
n
7
Consider x1(n) = {1,2,3,1,5} and x2(n) = {2,3,4,1,-2}.
Find y(n) = x1(n) + x2(n)
Solution :
 y(n) = {0+2,1+3,2+4,3+1,1-2,5-0}
30
-1,n=0,1,2,3
n=0,1,2,3,4
0 1 2 3 4
x1(n)
1
2
3
5
n
1
-1 0 1 2 3 4
x2(n)
2
3
4
n
1
-2
-1 0 1 2 3 4
y(n)
2
-1
5
4
n
6
4
y(n) = { 2,4,6,4,-1,5}
Multiplication of two signals is obtained by multiplying the
value (amplitude) of two signals at same instant of time.
Consider
x1(n) = {1,2,3,4} and x2(n) = {2,1,3,2}
Find y(n) = x1(n) x2(n)
 y(n) ={ 1x2, 2x1, 3x3, 4x2}
 y(n) = { 2,2,9,8}
31
0 1 2 3
y(n)
2 2
9
8
n
 Multiply the signal values at all time or
specific time
32
 Follow the precedence rule, if Time shifting and
Time scaling , time reversal and amplitude
scaling occurs in same signal.
 Rule:
33
Amplitude
scaling
Time shifting Time reversal Time scaling
34
(i) x(2t+2)
Time shifting Time scaling
Left
a=2 >1
Compress
35
Time shifting Time scaling
Right
a=1/2 < 1 Expand
(iii) x(-t-2)
36
Time shifting
Time reversal
37

More Related Content

What's hot

Signals and systems( chapter 1)
Signals and systems( chapter 1)Signals and systems( chapter 1)
Signals and systems( chapter 1)
Fariza Zahari
 

What's hot (20)

Lecture No:1 Signals & Systems
Lecture No:1 Signals & SystemsLecture No:1 Signals & Systems
Lecture No:1 Signals & Systems
 
OPERATIONS ON SIGNALS
OPERATIONS ON SIGNALSOPERATIONS ON SIGNALS
OPERATIONS ON SIGNALS
 
Dsp lab manual
Dsp lab manualDsp lab manual
Dsp lab manual
 
Signals & Systems PPT
Signals & Systems PPTSignals & Systems PPT
Signals & Systems PPT
 
Fourier Series for Continuous Time & Discrete Time Signals
Fourier Series for Continuous Time & Discrete Time SignalsFourier Series for Continuous Time & Discrete Time Signals
Fourier Series for Continuous Time & Discrete Time Signals
 
Discrete Fourier Transform
Discrete Fourier TransformDiscrete Fourier Transform
Discrete Fourier Transform
 
digital signal-processing-lab-manual
digital signal-processing-lab-manualdigital signal-processing-lab-manual
digital signal-processing-lab-manual
 
Digital Signal Processing-Digital Filters
Digital Signal Processing-Digital FiltersDigital Signal Processing-Digital Filters
Digital Signal Processing-Digital Filters
 
Signals and systems( chapter 1)
Signals and systems( chapter 1)Signals and systems( chapter 1)
Signals and systems( chapter 1)
 
Solvedproblems 120406031331-phpapp01
Solvedproblems 120406031331-phpapp01Solvedproblems 120406031331-phpapp01
Solvedproblems 120406031331-phpapp01
 
Dsp lab pdf
Dsp lab pdfDsp lab pdf
Dsp lab pdf
 
Unit 1 -Introduction to signals and standard signals
Unit 1 -Introduction to signals  and standard signalsUnit 1 -Introduction to signals  and standard signals
Unit 1 -Introduction to signals and standard signals
 
Classification of systems : Part 2
Classification of systems  :  Part 2Classification of systems  :  Part 2
Classification of systems : Part 2
 
SIGNAL OPERATIONS
SIGNAL OPERATIONSSIGNAL OPERATIONS
SIGNAL OPERATIONS
 
Circuit Network Analysis - [Chapter3] Fourier Analysis
Circuit Network Analysis - [Chapter3] Fourier AnalysisCircuit Network Analysis - [Chapter3] Fourier Analysis
Circuit Network Analysis - [Chapter3] Fourier Analysis
 
signals and systems
signals and systemssignals and systems
signals and systems
 
Convolution&Correlation
Convolution&CorrelationConvolution&Correlation
Convolution&Correlation
 
Unit-1 Classification of Signals
Unit-1 Classification of SignalsUnit-1 Classification of Signals
Unit-1 Classification of Signals
 
PULSE CODE MODULATION (PCM)
PULSE CODE MODULATION (PCM)PULSE CODE MODULATION (PCM)
PULSE CODE MODULATION (PCM)
 
3.Properties of signals
3.Properties of signals3.Properties of signals
3.Properties of signals
 

Similar to Unit 1 Operation on signals

University of manchester mathematical formula tables
University of manchester mathematical formula tablesUniversity of manchester mathematical formula tables
University of manchester mathematical formula tables
Gaurav Vasani
 
Continuous Time Convolution1. Solve the following for y(t.docx
Continuous Time Convolution1. Solve the following for y(t.docxContinuous Time Convolution1. Solve the following for y(t.docx
Continuous Time Convolution1. Solve the following for y(t.docx
maxinesmith73660
 
Es400 fall 2012_lecuture_2_transformation_of_continuous_time_signal.pptx
Es400 fall 2012_lecuture_2_transformation_of_continuous_time_signal.pptxEs400 fall 2012_lecuture_2_transformation_of_continuous_time_signal.pptx
Es400 fall 2012_lecuture_2_transformation_of_continuous_time_signal.pptx
umavijay
 

Similar to Unit 1 Operation on signals (20)

Ct signal operations
Ct signal operationsCt signal operations
Ct signal operations
 
Signals and Systems Formula Sheet
Signals and Systems Formula SheetSignals and Systems Formula Sheet
Signals and Systems Formula Sheet
 
University of manchester mathematical formula tables
University of manchester mathematical formula tablesUniversity of manchester mathematical formula tables
University of manchester mathematical formula tables
 
Continuous Time Convolution1. Solve the following for y(t.docx
Continuous Time Convolution1. Solve the following for y(t.docxContinuous Time Convolution1. Solve the following for y(t.docx
Continuous Time Convolution1. Solve the following for y(t.docx
 
Es400 fall 2012_lecuture_2_transformation_of_continuous_time_signal.pptx
Es400 fall 2012_lecuture_2_transformation_of_continuous_time_signal.pptxEs400 fall 2012_lecuture_2_transformation_of_continuous_time_signal.pptx
Es400 fall 2012_lecuture_2_transformation_of_continuous_time_signal.pptx
 
Mathematical formula tables
Mathematical formula tablesMathematical formula tables
Mathematical formula tables
 
Operations on Continuous time Signals.
Operations on Continuous time Signals.Operations on Continuous time Signals.
Operations on Continuous time Signals.
 
Comparison Theorems for SDEs
Comparison Theorems for SDEs Comparison Theorems for SDEs
Comparison Theorems for SDEs
 
Contemporary communication systems 1st edition mesiya solutions manual
Contemporary communication systems 1st edition mesiya solutions manualContemporary communication systems 1st edition mesiya solutions manual
Contemporary communication systems 1st edition mesiya solutions manual
 
convulution
convulutionconvulution
convulution
 
Applications of Differential Calculus in real life
Applications of Differential Calculus in real life Applications of Differential Calculus in real life
Applications of Differential Calculus in real life
 
線形回帰モデル
線形回帰モデル線形回帰モデル
線形回帰モデル
 
Signals and Systems part 2 solutions
Signals and Systems part 2 solutions Signals and Systems part 2 solutions
Signals and Systems part 2 solutions
 
LINEAR SYSTEMS
LINEAR SYSTEMSLINEAR SYSTEMS
LINEAR SYSTEMS
 
Laplace_1.ppt
Laplace_1.pptLaplace_1.ppt
Laplace_1.ppt
 
Modul 3 quadratic function
Modul 3 quadratic functionModul 3 quadratic function
Modul 3 quadratic function
 
PPT Chapter-1-V1.pptx__26715_1_1539251776000.pptx.pptx
PPT Chapter-1-V1.pptx__26715_1_1539251776000.pptx.pptxPPT Chapter-1-V1.pptx__26715_1_1539251776000.pptx.pptx
PPT Chapter-1-V1.pptx__26715_1_1539251776000.pptx.pptx
 
Digital signal processing
Digital signal processingDigital signal processing
Digital signal processing
 
2018 MUMS Fall Course - Statistical Representation of Model Input (EDITED) - ...
2018 MUMS Fall Course - Statistical Representation of Model Input (EDITED) - ...2018 MUMS Fall Course - Statistical Representation of Model Input (EDITED) - ...
2018 MUMS Fall Course - Statistical Representation of Model Input (EDITED) - ...
 
Interpolation functions
Interpolation functionsInterpolation functions
Interpolation functions
 

More from Dr.SHANTHI K.G

More from Dr.SHANTHI K.G (20)

unit4 DTFT .pptx
unit4 DTFT .pptxunit4 DTFT .pptx
unit4 DTFT .pptx
 
unit4 sampling.pptx
unit4 sampling.pptxunit4 sampling.pptx
unit4 sampling.pptx
 
Fourier and Laplace transforms in analysis of CT systems PDf.pdf
Fourier and Laplace transforms in analysis of CT systems PDf.pdfFourier and Laplace transforms in analysis of CT systems PDf.pdf
Fourier and Laplace transforms in analysis of CT systems PDf.pdf
 
Laplace Transform Problems
Laplace Transform ProblemsLaplace Transform Problems
Laplace Transform Problems
 
Orthogonal coordinate systems- Cartesian ,Cylindrical ,Spherical
Orthogonal coordinate systems- Cartesian ,Cylindrical ,SphericalOrthogonal coordinate systems- Cartesian ,Cylindrical ,Spherical
Orthogonal coordinate systems- Cartesian ,Cylindrical ,Spherical
 
Fourier Transform ,LAPLACE TRANSFORM,ROC and its Properties
Fourier Transform ,LAPLACE TRANSFORM,ROC and its Properties Fourier Transform ,LAPLACE TRANSFORM,ROC and its Properties
Fourier Transform ,LAPLACE TRANSFORM,ROC and its Properties
 
Scope of signals and systems
Scope of signals and systemsScope of signals and systems
Scope of signals and systems
 
Unit V-Electromagnetic Fields-Normal incidence at a plane dielectric boundary...
Unit V-Electromagnetic Fields-Normal incidence at a plane dielectric boundary...Unit V-Electromagnetic Fields-Normal incidence at a plane dielectric boundary...
Unit V-Electromagnetic Fields-Normal incidence at a plane dielectric boundary...
 
UNIT IV - WAVE EQUATIONS AND THEIR SOLUTION
UNIT IV - WAVE EQUATIONS AND THEIR SOLUTION UNIT IV - WAVE EQUATIONS AND THEIR SOLUTION
UNIT IV - WAVE EQUATIONS AND THEIR SOLUTION
 
TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 -Notes
 TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 -Notes TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 -Notes
TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 -Notes
 
TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 - two marks
 TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 - two marks TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 - two marks
TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 - two marks
 
TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit4- problems
 TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit4- problems TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit4- problems
TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit4- problems
 
Unit-3:Magnetostatics
Unit-3:MagnetostaticsUnit-3:Magnetostatics
Unit-3:Magnetostatics
 
Electric potential, Electric Field and Potential due to dipole
Electric potential, Electric Field and Potential due to dipoleElectric potential, Electric Field and Potential due to dipole
Electric potential, Electric Field and Potential due to dipole
 
Gauss law and its Applications
Gauss law and its ApplicationsGauss law and its Applications
Gauss law and its Applications
 
Electric field intensity due to a charged ring and Electric flux density
Electric field intensity due to a charged ring and Electric flux densityElectric field intensity due to a charged ring and Electric flux density
Electric field intensity due to a charged ring and Electric flux density
 
Electric field intensity due to infinite line charge and infinte sheet of charge
Electric field intensity due to infinite line charge and infinte sheet of chargeElectric field intensity due to infinite line charge and infinte sheet of charge
Electric field intensity due to infinite line charge and infinte sheet of charge
 
Unit 2 Electrostatics
Unit  2 ElectrostaticsUnit  2 Electrostatics
Unit 2 Electrostatics
 
ELECTROSTATICS:Coulomb's law, Electric field & problems
ELECTROSTATICS:Coulomb's law, Electric field & problemsELECTROSTATICS:Coulomb's law, Electric field & problems
ELECTROSTATICS:Coulomb's law, Electric field & problems
 
Electromagnetic fields: Review of vector algebra
Electromagnetic fields: Review of vector algebraElectromagnetic fields: Review of vector algebra
Electromagnetic fields: Review of vector algebra
 

Recently uploaded

The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
heathfieldcps1
 
Salient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsSalient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functions
KarakKing
 

Recently uploaded (20)

Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentation
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 
Interdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptxInterdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptx
 
Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
 
How to Add New Custom Addons Path in Odoo 17
How to Add New Custom Addons Path in Odoo 17How to Add New Custom Addons Path in Odoo 17
How to Add New Custom Addons Path in Odoo 17
 
Towards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptxTowards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptx
 
Understanding Accommodations and Modifications
Understanding  Accommodations and ModificationsUnderstanding  Accommodations and Modifications
Understanding Accommodations and Modifications
 
Google Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptxGoogle Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptx
 
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - English
 
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
Salient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsSalient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functions
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 

Unit 1 Operation on signals

  • 1. Dr.K.G.SHANTHI Professor/ECE shanthiece@rmkcet.ac.in RMK College of Engineering and Technology (Time Reversal, Time Shifting , Time Scaling, Amplitude scaling, Signal addition, Signal Multiplication)
  • 2. 2
  • 3. 3 • Functional representation x(t) = 2 ; -1< t <1 0 ; otherwise -1 0 +1 x(t) 2 t • Graphical representation
  • 4. 4 • Functional representation x(n) = 2 ; n=-1 1 ; n=0 -1; n=1 n x(n) 2 1 -1 -1 0 +1 n -1 0 1 x(n) 2 1 -1 x(n) = { 2,1,-1} n=0 Note: If there is no arrow in sequence representation, then first signal value indicates n=0 value • Graphical representation • Sequence representation • Tabular representation
  • 5. 1. x(n) = 2n ; n ≥ 0 0 ; n < 0 2.x(n) = { 1,-2,3,2,-1,0,3} Write the tabular representation of x(n) 5 Draw the graphical representation of x(n)
  • 6. 6
  • 7. Operation on Independent variable Time Inversion or Time Folding or Time Reversal Time Shifting Time Scaling Operation on Dependent variable Amplitude scaling Signal addition Signal Multiplication 7 Signals
  • 8.  In Time reversal, signal x(t) is reversed with respect to time i.e. y(t) = x(-t) is obtained for the given function  Time Folding: By folding the signal x(t) about t=0 (Rotating signal by 1800 clockwise direction will give mirror image of signal 8 i.e x(-t)
  • 9. 9
  • 10. 10
  • 11. 11
  • 12.  The original signal x(t ) is shifted by an amount tₒ.  Signal Delayed  Signal Advanced 12 X(t) X(t- t0) Shift right X(t) X(t + t0) Shift left
  • 13. 13 Draw y(t) = x(t-2) and y(t) = x(t+2) Signal delay (Shift right) Signal advance (Shift left) Signal delay Signal advance Consider a signal x(t)
  • 14. 14 Consider a signal x(n) Plot y(n) = x(n-3) and y(n) = x(n+2) Signal delay Signal advance y(n) = x(n-3) y(n) = x(n+2)
  • 15. 15
  • 16. 16
  • 17. 17
  • 18.  Consider a signal x(t)  Plot x(2t) and x(t/2) 18 a= 2 >1, Time compressed a= 1/2 <1, Time expanded
  • 19. (i) x(2t)  t= -0.5, x(2x-0.5) = x(-1) = 0  t=0, x(2x0) = x(0) = 4  t=0.5, x(2x0.5) = x(1) = 4  t=1, x(2x1) = x(2) = 4  t=1.5, x(2x1.5) = x(3) = 0 19 t= -1, x(2x-1) = x(-2) = 0 t=2, x(2x2) = x(4) = 0 -ve +ve
  • 20. (i) x(t/2)  t=-2, x(-2/2) = x(-1) = 0  t=-1, x (-1/2) = x(-0.5) = 3  t=0, x(0/2) = x(0) = 4  t= 1, x(1/2) = x(0.5) = 4  t=3, x (3/2) = x(1.5) = 4  t=4, x(4/2) = x(2) = 4  t=6, x (6/2) = x(3) = 0 20
  • 21.  Example: Given x(t) and we are to find y(t) = x(2t). 21
  • 22.  Consider a signal  Plot y(n)=x(2n) and x(n/2) 22 x(-4) = 0 x(-3) = 4 x(-2) = 3 x(-1) = 2 x(0) = 1 x(1) = 2 x(2) = 3 x(3) = 4 x(4) = 0 x(n) = {0,4,3,2,1,2,3,4,0}
  • 23. (i) y(n) = x(2n) ;  y(0) = x(2x0) = x(0) = 1  y(1) = x(2x1) = x(2) = 3  y(2) = x(2x2) = x(4) = 0  y(-1) = x(2x-1) = x(-2) = 3  y(-2) = x(2x-2) = x(-4) = 0 23 y(n) = x(2n) a=2 >1 (time compress) x(n) = {0,4,3,2,1,2,3,4,0}
  • 24. (i) y(n) = x(n/2) ;  y(-2) = x(-2/2) = x(-1) = 2  y(-4) = x(-4/2) = x(-2) = 3  y(-6) = x(-6/2) = x(-3) = 4  y(-8) = x(-8/2) = x(-4) = 0  y(0) = x(0/2) = x(0) = 1  y(2) = x(2/2) = x(1) = 2  y(4) = x(4/2) = x(2) = 3  y(6) = x(6/2) = x(3) = 4  y(8) = x(8/2) = x(4) = 0 24 y(n) = x(n/2) a=1/2 < 1 (Time expands) x(n) = {0,4,3,2,1,2,3,4,0}
  • 25.  Multiplying the signal x(t) with A results in output y(t)=A x(t),  where A= Amplitude • For A ˃ 1, the signal is amplified (Amplitude increases) • For A < 1, the signal is attenuated (Amplitude decreases)  There is no change in time 25
  • 26. 26 y(n) = 2x(n) Consider the signal x(n).Plot y(n)=2x(n) Consider the signal x(t).Plot y(t)=2x(t)
  • 27.  The addition of two continuous time signals is obtained by adding the value (amplitude) of two signals at same instant of time. 27 x1(t) x2(t) x1(t)+x2(t)
  • 28.  Find u(t) – u(t-10) 28
  • 29. Consider x1(n) = {1,2,3,1,5} and x2(n) = {2,3,4,1,-2}. Find y(n) = x1(n) + x2(n) Solution :  y(n) = { 1+2, 2+3, 3+4, 1+1, 5-2}  y(n) = { 3,5,7,2,3} 29 0 1 2 3 4 x1(n) 1 2 3 5 n 1 0 1 2 3 4 x2(n) 2 3 4 n 1 -2 0 1 2 3 4 y(n) 3 2 3 5 n 7
  • 30. Consider x1(n) = {1,2,3,1,5} and x2(n) = {2,3,4,1,-2}. Find y(n) = x1(n) + x2(n) Solution :  y(n) = {0+2,1+3,2+4,3+1,1-2,5-0} 30 -1,n=0,1,2,3 n=0,1,2,3,4 0 1 2 3 4 x1(n) 1 2 3 5 n 1 -1 0 1 2 3 4 x2(n) 2 3 4 n 1 -2 -1 0 1 2 3 4 y(n) 2 -1 5 4 n 6 4 y(n) = { 2,4,6,4,-1,5}
  • 31. Multiplication of two signals is obtained by multiplying the value (amplitude) of two signals at same instant of time. Consider x1(n) = {1,2,3,4} and x2(n) = {2,1,3,2} Find y(n) = x1(n) x2(n)  y(n) ={ 1x2, 2x1, 3x3, 4x2}  y(n) = { 2,2,9,8} 31 0 1 2 3 y(n) 2 2 9 8 n
  • 32.  Multiply the signal values at all time or specific time 32
  • 33.  Follow the precedence rule, if Time shifting and Time scaling , time reversal and amplitude scaling occurs in same signal.  Rule: 33 Amplitude scaling Time shifting Time reversal Time scaling
  • 34. 34 (i) x(2t+2) Time shifting Time scaling Left a=2 >1 Compress
  • 35. 35 Time shifting Time scaling Right a=1/2 < 1 Expand
  • 37. 37